Previous Chapter: 1 Introduction
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

CHAPTER 2

TPIMS Information Review

Gathering and reviewing literature and other information was an early effort undertaken by the research team. It synthesized relevant information on TPIMS research, planning, and deployments that have been done in the United States and internationally, where literature was available. Various resources were used to gather this data, including domestic and foreign literature, research findings, and other sources that included published and unpublished reports. The purpose of this review was to document the comprehensive history of TPIMS and structure these findings as a reference for agencies looking to embark on a TPIMS deployment.

This section includes material on the issue of truck parking capacity, though the subject of interest is truck parking availability. This was intentional, as many research findings that relate to truck parking capacity also influenced the motivations and considerations for TPIMS. For example, TPIMS could assist truck drivers based on their motivations and needs for parking

The literature review is organized into four areas:

  • Research on TPIMS. This focused on topic areas including research on estimating or monitoring parking availability, research on modeling travel and parking behavior when TPIMS is present, and other relevant research that could impact TPIMS operations, such as oversize/overweight (OSOW) vehicle use and policy options for incentivizing parking options over alternatives. The purpose of this section is to inform core research aspects of TPIMS.
  • Research on truck parking preferences. This focused on research related to trucker parking preferences, motivations, and specific tools used to aid in truck parking. While many of these topic areas are directly relevant to truck parking facilities themselves, drivers’ motives and needs, in addition to other relevant topics to truck parking facilities, could substantially contribute to smart investment in TPMIS. The purpose of this section is to inform the development of considerations for prioritizing TPIMS investments in a complex environment.
  • Research on technology, hardware, and software associated with TPIMS. This provided a comprehensive scan of the technology, hardware, software, and design considerations that go into TPIMS, based on published experience. This scan provided insights on equipment types without getting into specific vendors.
  • Information on real-world TPIMS deployments. This provided a review of TPIMS deployments in the United States and internationally, covering topics such as adopted technology, operational constraints and restrictions, adoption of TPIMS into ITS programs, successes and failures found both immediately and over the long-term, and funding and policy issues, where referenceable material is available. The purpose of this section is to describe the real-world efforts that are completed or underway.

Research on TPIMS

This section discusses research on the topic of TPIMS and related studies on subjects that affect the operations and success of TPIMS. It touches on three key research areas:

  • Techniques for estimating or monitoring parking availability.
  • Modeling or evaluating the benefits of TPIMS being present.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
  • Other relevant research that highlights TPIMS-related challenges, such as the impact of OSOW vehicles or options associated with private-sector TPIMS investments.

This research is relevant because it provides insights into various tangential topics that influence a TPIMS program, such as methods of doing real-time or predictive assessments. The insights from this work help inform considerations in the Guide.

Estimating or Monitoring Parking Availability

Table 1 summarizes findings from six research studies that focused on methods to estimate, monitor, or forecast parking availability.

Table 1. Summary of research on estimating or monitoring parking availability.

Study Summary
Intelligent Parking Assist for Trucks with Prediction (Ioannou and de Almeida Araujo Vital 2018)
  • Developed algorithm for truck drivers’ trip planning using parking availability data.
  • Goal was to enhance rest area distribution by optimizing parking allocation.
  • Tested multiple prediction algorithms via private truck stop system; recommended combining models for diverse situations and proposing context-based assignments based on experimental findings.
Truck Parking Forecasting and Error Correction (Sadek, Martin and Shaheen 2018)
  • Developed statistical model for predicting truck parking occupancy in California based on historical and real-time data.
  • Intended to assist truck drivers in trip planning by forecasting parking availability.
  • Utilized one year of continuous parking data to build the model, employing various curve fitting models and assessing accuracy with statistical methods; identified maximum error range of 13 to 40 trucks for an 800-slot logistics facility.
Estimating Time-Dependent Demand for Truck Parking Facilities (Heinitz 2009)
  • Documented novel demand modeling approach for truck parking on Germany’s Federal highways.
  • Simulation-based study targeted closing gap between empirical data and decision support.
  • Developed generic model reconstructing truck parking demand with time resolution and dependency on HOS regulations; prototype applied to German study area, with potential adaptability to the United States explored.
Commercial Motor Vehicle Parking Trends at Rest Areas and Weigh Stations (Bayraktar, Zhu and Arif 2012)
  • Florida study targeted truck parking trends at public rest areas and aimed to develop a smart parking system for commercial vehicles.
  • Collected rest area data and assessed parking availability on major Interstate corridors.
  • Incorporated technology assessment for improved parking management, conducted pilot project, and developed software tools, including an occupancy prediction model.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
University of Washington—Smart and Cooperative Truck Parking Monitoring and Calibration System Empowered by Machine Learning (University of Washington 2022)
  • Ongoing research at University of Washington is creating a truck parking monitoring system using machine learning.
  • Employing deep learning and cooperative artificial intelligence (AI), the system automatically monitors installed sensors and calibrates for accurate occupancy data.
  • Real-time parking occupancy is calculated by comparing sensor data with video surveillance, and a cooperative AI component generates calibrated results and calibration recommendations.
University of Minnesota Study—A Comprehensive System for Assessing Truck Parking Availability (Morris, et al. 2017)
  • University of Minnesota and American Transportation Research Institute (ATRI) collaborated on a study for a parking detection system using various dissemination methods.
  • Tested roadside message signs, a website, and onboard app for informing truck drivers about parking availability.
  • Results indicated improved regulatory compliance, increased productivity for long-haul trips, preferred Dynamic Message Sign (DMS) locations, and high accuracy (95%) in parking space occupancy detection, eliminating manual error corrections.

Research on Modeling and Evaluating a TPIMS Environment

Table 2 summarizes the findings from two research studies that aimed to simulate truck parking demand with TPIMS in operation.

Table 2. Summary of research on modeling and evaluating a TPIMS environment.

Study Summary
Modeling and Evaluating a Truck Parking Information Management System Using Microscopic Traffic Simulation (Best 2017)
  • Used commercial microsimulation software to analyze truck parking demand along a corridor.
  • Employed origin-destination data to simulate truck routes, including stops at designated and undesignated truck stops to meet HOS regulations.
  • Observed parking demand at various stops through multiple simulation iterations; noted the study’s innovation in using simulation for truck parking behavior, although calibration with observed data for better accuracy was lacking.
Evaluation of Iowa Truck Parking Information and Management System (Iowa State University Institute for Transportation 2022)
  • Iowa State University is evaluating the Iowa TPIMS system in the context of Mid-America Association of State Transportation Officials (MAASTO) TPIMS regional deployment.
  • Iowa DOT opted for mobile apps, Iowa 511, and in-cab systems over traditional DMS to convey parking availability.
  • Evaluation by CTRE will analyze TPIMS accuracy, reliability, and effectiveness, comparing different information dissemination methods to traditional DMS; research ongoing with expected completion in November 2022 (National Academies of Science, Engineering, and Medicine 2018).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Truck Parking Preferences

This section discusses research and publications on the topic of truck driver parking preferences. While this topic area is often focused more on investments in truck parking capacity, it includes information on parking preferences that provide insights into how and where TPIMS could be a valuable solution. This is especially relevant when budgets may require choosing one investment over another. It focuses on the work—primarily found in state freight plans—that documents various truck driver preferences. This informs several topics, including where truckers choose to park:

  • What are the challenges of finding parking? Aside from the general lack of capacity, what creates challenges for truckers trying to find parking? These challenges can help inform how TPIMS information and wayfinding should be designed.
  • Why is parking needed? Why do truckers need parking? What are the differences in parking needs between short-haul and long-haul truckers? These differences can help identify the extent TPIMS could be informative on corridors with prevalent types of freight operations.
  • Who chooses where truckers park? Are truckers enabled to make their own routing and parking decisions, or are they directed to follow a strict plan by their company and/or dispatchers? These choices could influence the utility of TPIMS and prioritize the need for strategic locations.
  • Where do truckers want to park? Without capacity constraints, where would truckers choose to park when making certain types of trips? These preferences can influence the placement of TPIMS, depending on certain corridor characteristics.
  • What are the preferences and challenges between urban and rural applications? What are the differences in rural versus urban parking needs? These differences could help determine what type of TPIMS is of value, depending on the application.
  • When are the desired parking times? When do truckers normally seek out parking? Understanding when the peak hours occur could help prioritize certain TPIMS applications.
  • Who needs real-time information? Do truckers believe that real-time availability information is useful, or is it not helpful for their applications? This could help inform whether a TPIMS investment would provide operational benefits.
  • How valuable is existing TPIMS? Have the truckers that have used real-world TPIMS deployments found them to be useful to their parking needs? The utility of existing TPIMS is useful to determine what models work best and how to better align future TPIMS systems with truckers’ needs. Table 3 summarizes the findings from 19 studies that were examined related to truck parking preferences.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 3. Summary of research on truck parking preferences.

Study Summary
Managing Critical Truck Parking Case Study—Real World Insights from Truck Parking Diaries (American Transportation Research Institute 2016)
  • ATRI conducted research on “Truck Parking Diaries” to gather qualitative data on truck drivers’ daily parking challenges and decision-making.
  • Findings revealed that drivers primarily choose parking spots on their own (93.8%), often using websites/apps (55.5%), Global Position System (GPS) (53.4%), and books (37.7%).
  • Time of day impacts parking availability, with unauthorized parking peaking between 7:00 p.m. and 4:59 am.
  • 24.4% of drivers faced issues with public rest areas, including closures, distances, and time limits.
  • Over a third parked at unauthorized locations 3-4 times per week; 9.5% relied on shoulder/ramp parking daily.
  • Productivity, proximity, and space width influenced parking choices; private truck stops were preferred.
  • Drivers lost 56 minutes/day parking early to secure spots, reducing annual productivity and wages by up to 10%.
Initiatives by the National Coalition on Truck Parking (National Coalition on Truck Parking 2016)
  • The National Coalition on Truck Parking (NCTP), a Federal Highway Administration (FHWA) initiative, formed four working groups for truck parking opportunities based on the 2016 NCTP Activity Report, focused on parking capacity, data/technology, innovative funding, and Government coordination.
  • Key findings from some groups highlighted preferences influencing TPIMS, with the Data and Technology group’s survey showing mapping and parking availability input as vital features for truck parking apps (National Coalition on Truck Parking 2018).
  • Trucker Path and myPilot are example third-party apps for finding parking.
  • The Data and Technology group also documented TPIMS activities nationwide.
Understanding COVID19 Impacts on the Trucking Industry (American Transportation Research Institute; The OOIDA Foundation 2020)
  • ATRI and the Owner Operator Independent Drivers Association (OOIDA) Foundation collaborated on COVID-19 impact research in the trucking industry.
  • Surveyed truck drivers, dispatchers, and executives, receiving 5,100 responses, with 77% being truck drivers.
  • 42% of respondents noted truck parking as a challenge during the pandemic, with 44% finding parking "somewhat harder" or "much harder."
  • Larger fleets (251-500 and 501-1,000 power units) faced more difficulty finding parking.
  • Among owner-operators, 24% found truck parking harder to locate during the pandemic.
Oregon Truck Parking—An Emerging Safety Hazard to Highway Users (Hernandez and Anderson 2017)
  • Funded by Oregon DOT, study examined truck parking needs in Oregon. Stated-preference survey of truck drivers in Pacific Northwest region revealed insights into decision-making.
  • Majority (85%) decide parking locations themselves; hardest times are 9pm-12am and 4pm-9pm, Fridays and December.
  • 39% of respondents would benefit from real-time parking availability info; 56% preferred real-time data through smartphone apps.
  • Study analyzed demand along U.S. 97 corridor and found safety hot-spots correlating with truck parking challenges.
  • Drivers suggested improving parking quantity, layout, real-time info, and public rest area amenities as effective ways to enhance truck parking.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
Arizona Truck Parking Analysis (Arizona Department of Transportation 2018)
  • Study conducted online survey via Arizona Trucking Association and OOIDA.
  • Main reasons for truck parking needs: mandated 10+ hour rest breaks, 30 min rest breaks, meals/restrooms, and pick-up/delivery staging.
  • 93% of drivers faced parking issues; 72% said availability worsened in past year, half of issues in urban areas.
  • Preferred parking info sources: smartphone apps, variable message signs, in-cab messaging.
  • 41% wanted parking info 20 miles or more ahead.
  • 72% unwilling to pay for parking reservation; 13% willing to pay $1-$5, lower than typical truck stop fees.
Virginia Truck Parking Study (Virginia Department of Transportation 2015)
  • The Virginia DOT (VDOT) published 2015 Virginia Truck Parking Study, investigating truck parking impacts.
  • Online survey of OOIDA, Virginia Truck Association, and American Trucking Association (ATA) members revealed key findings:
  • VDOT rest areas preferred for short-term parking (33%), while private truck stops favored for long-term (49%).
  • 97% indicated insufficient rest area parking spaces, especially overnight.
  • A survey of State troopers showed that 66% of designated parking spots were over capacity.
  • 70% of troopers ask drivers to move, raising concerns about HOS compliance.
  • VDOT’s 43 rest areas, 36 with truck parking, were 97% over capacity; exit ramps often used for parking.
Utah I-15 Truck Parking Study (Utah Department of Transportation 2012)
  • The Utah DOT’s (UDOT) 2012 FHWA-funded study focused on I-15 truck parking needs. Surveyed 433 truckers at commercial truck stops about long-term parking experiences. Final Recommendation to develop an interactive UDOT map for truckers to locate parking facilities.
  • Truckers prefer public rest areas for short-term and commercial truck stops for long-term parking.
  • Restrooms, highway connection, showers, and refueling are important to drivers.
  • Most drivers determine stops while driving; road conditions impact HOS compliance.
  • Better signage and information needed for long-term rest stop planning.
  • 70%+ parked on shoulders/ramps due to lack of info and available spaces.
  • Interviews with drivers and truck stop owners suggested increased signage and maps.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
I-10 Corridor Coalition Truck Parking Survey (I-10 Corridor Coalition 2020)
  • I-10 Corridor Coalition conducted truck driver and dispatcher survey as part of Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) grant. Surveys distributed via social media, Truck Parking Availability System (TPAS) site posters, press releases, and trucking associations.
  • 41% of respondents take 30 mins—1 hour to find parking; 37% take over an hour.
  • Parking needed for 10-hour HOS breaks (93%) and 30-minute breaks (62%).
  • Preferred info sources: roadside DMS, technology apps like private smartphone apps or in-cab systems.
  • 56% preferred roadside DMS option showing rest areas within 5-45 miles, total and available spaces.
  • Sign preferences include accuracy, displaying upcoming sites (2-3), and varied advance distance (19%—60 miles).
Atlanta Regional Truck Parking Assessment Study (Atlanta Regional Commission 2018)
  • The Atlanta Regional Commission published "Atlanta Regional Truck Parking Assessment Study" in 2018. Online survey involved local jurisdictions, law enforcement, truck stop operators, and trucking companies.
  • Responses from trucking companies/shippers highlighted 73% seeing truck parking as a serious issue, affecting operations.
  • 32% said dispatchers assist drivers in parking search; 50% said drivers pay for parking, with some not reimbursed.
  • Truck driver survey conducted with assistance from ATRI, OOIDA, and neighboring State truck associations.
  • Over 50% of drivers took over an hour to find parking; methods included continuing until safe (69%), smartphone apps (55%), and pre-planned destination awareness (47%).
Washington State Truck Parking Study (Washington State Department of Transportation 2016)
  • In 2016, the Washington State DOT (WSDOT) published the Washington State Truck Parking Study. Online survey and roundtable discussions engaged truck drivers (84% of responses) and stakeholders.
  • Private truck stops preferred for short-term (32%) and overnight (36%) parking.
  • 60% took over 60 minutes to find overnight parking; shortage noted.
  • Preference for private truck stops and public rest areas; undesignated parking due to shortages.
  • Proposed solutions included real-time parking info through ITS, using FHWA’s FRATIS and private mobile apps. FRATIS’s Freight-Specific Dynamic Travel Planning could reduce wait/travel/turn-around times at terminals, aiding planning.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
Low-Cost Strategies to Increase Truck Parking in Wisconsin (Ogard, et al. 2009)
  • This report aimed to address truck parking problems in Wisconsin. Used surveys and interviews to gather stakeholder input on parking issues and solutions.
  • In order of importance, truckers’ concerns were parking location, amenities, space availability, time limits.
  • Parking problems identified at metro outskirts for pre-appointment staging.
  • Shortages lead to ramp parking during peak demand; evening and late-night shortages.
  • Lack of familiarity with parking spots reduces chances of finding space when needed.
  • Poor geometrics, design cause entry/exit issues, trucks occupying multiple spots due to poor markings.
Truck Parking Study—A Freight North Texas Study (North Central Texas Council of Governments 2018)
  • North Central Teas Council of Governments conducted a study on truck parking in North Central Texas. Driver survey in 2015 gathered observations on truck parking and driver preferences.
  • Safety and security are the highest priority for both short-term and long-term parking.
  • Short-term stops valued amenities like food, restrooms, and shopping choices.
  • Key finding: Implement technologies for cohesive truck parking availability, notification, and facility-specific amenities.
North Carolina Statewide Multimodal Freight Plan and Truck Parking Study (North Carolina Department of Transportation 2017)
  • North Carolina DOT (NCDOT) study (2017) analyzed truck parking adequacy in North Carolina.
  • Stakeholders and truck drivers surveyed; 87% took over 30 mins to find parking.
  • HOS 10-hour and 30-minute rest breaks were the top reasons for parking.
  • Private truck stops were the most used, followed by public rest areas and shipper/receiver locations.
  • Recommendations: communication/signage systems for location/availability info, safety monitoring systems.
  • Reference to efforts in Virginia, Kansas, Wisconsin, and Florida; suggest truck parking notifications pilot system.
Kansas Statewide Freight Network Truck Parking Plan (Kansas Department of Transportation, Kansas Turnpike Authority 2016)
  • The Kansas DOT’s (KDOT) Kansas Statewide Freight Network Truck Parking Plan (2016) studied truck parking. Electronic survey to truckers in Kansas.
  • 83% of respondents cited HOS as the main parking decision factor.
  • 78% needed an hour or more to find parking.
  • 52% found difficulty equally in public and private rest stops.
  • 48% found parking more likely in rural areas than in metropolitan areas.
  • General recommendations: Provide info/tech services for better parking decisions. Specific recommendation for dynamic TPIMS deployment.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
Evaluation of Michigan Truck Parking Information and Management System (Michigan Department of Transportation 2016)
  • Michigan assessed the impact of a real-time truck parking system on I-94 under MAP-21 Section 1305 grants. The University of Michigan Transportation Research Institute (UMTRI) reviewed the system’s effectiveness and driver opinions in 2015.
  • 60 truck drivers surveyed at private truck stops and public rest areas.
  • Drivers found TPIMS valuable and time-saving.
  • Dynamic roadside message signs are preferred for parking availability info.
  • TPIMS impact on safety was not established by UMTRI, but the Michigan DOT (MDOT) found parking-related crash correlation (National Coalition on Truck Parking 2018).
Mid-America Freight Coalition—Truck Parking Management Systems, a Synthesis of Projects, Research, and Resources for MAASTO Decision-makers (Mid-America Freight Coalition 2015)
  • The Mid-America Freight Coalition’s research assessed truck parking management systems in the U.S.
  • Previous research from 2002 showed that 98% of drivers choose parking locations at their discretion (Federal Highway Administration 2002).
  • The Mississippi Valley Freight Coalition survey found 53% of drivers reported problems finding parking on more than 70% of their trips. 63% of drivers had no awareness of nearby truck stops.
  • UDOT survey found that 30% of drivers mentioned that not knowing the availability of parking spaces was a reason for parking on shoulders or on ramps.
  • Parking decisions are usually made in transit, where 66% to 89% of truckers decide where to park once they are driving (Smith, et al. 2005).
  • ITS and real-time information are valued for parking decisions. FHWA study: 84% of drivers want real-time parking info (Federal Highway Administration 2002).
  • Transportation planners ranked ITS as effective solution in 2003 survey of transportation planners (National Cooperative Highway Research program 2003).
  • National Freight Advisory Committee recommends ITS solutions for parking issues and fatigue prevention (National Freight Advisory Committee 2014).
Trucker Path—Truck Parking Report (Trucker Path 2018)
  • Trucker Path is a commonly used smartphone app for truck drivers to find parking. Trucker Path surveyed drivers to analyze electronic logging device (ELD) mandate’s impact on parking.
  • 85% of drivers stress about truck parking.
  • 70% violated HOS due to lack of parking.
  • 96% parked in undesignated areas due to parking shortage.
  • Drivers increased use of Trucker Path app after the ELD mandate.
Understanding Freeway Ramp and Shoulder Parking by Truck Drivers (Anderson, Hernandez and Roll 2018)
  • Used a stated-preference survey to analyze the factors leading to undesignated truck parking in Oregon.
  • Driver characteristics (years of experience), trip features, parking difficulty, real-time info, and parking features found to be significant.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Study Summary
Transport Canada Survey (Polytechnique Montréal 2010)
  • Transport Canada conducted a survey revealing truck drivers’ difficulty finding parking across Canada.
  • Parking shortage reported at different journey phases: 48% at destination, 60.4% en route, and 80.8% in urban areas.
  • Lack of parking leads to drivers exceeding HOS and behavior changes.
  • 42.8% drivers told by officers to move from non-designated spots, with 37.6% out of HOS when asked.
  • 88.4% of drivers find insufficient rest areas, pull-outs, or safe havens for inspections.
  • Supplementary report suggests ITS technologies for real-time parking information and highlights best practices globally (Montufar, Regehr and Rempel 2009).

TPIMS Technology, Hardware, and Software

This section discusses insights from literature and publications on TPIMS-related technology and the diverse options in the practice. Transportation agencies looking to embark on a TPIMS deployment conducted a state of the practice assessment to determine what technologies, tools, and practices were available for effectively building their system. As a result, most literature on this topic were findings from various white papers and reports. Findings touched on certain key areas:

  • Truck Parking Availability Data Collection Technologies. This included devices such as magnetometers, video detection, microwave radar, laser, and mobile applications.
  • Truck Parking Availability Data Processing Technologies. This included central software (often a transportation agency’s Advanced Traffic Management System (ATMS)), independent software, or software-as-a-service.
  • Truck Parking Availability Data Distribution Technologies. This included roadside signs, web-based platforms, in-cab systems, GPS navigation systems, Highway Advisory Radio, Citizens Band Radio, other radio options, call-in phone systems, and traveler information kiosks.

Understanding the options available contributed to the identification of the practice and what options existed for transportation agencies to consider.

Table 4 summarizes five technologies related to truck parking availability data collection technologies, followed by additional variants and combinations.

Table 4. Summary of truck parking availability data collection technologies.

Technology Summary
Magnetometer
  • In-pavement magnetometer sensors are simple to install and identify shifts in magnetic fields from ferrous metals.
  • These sensors count vehicles by detecting changes as they cross, tracking entries and exits.
  • Some versions include microradar or infrared features for constant monitoring, enabling real-time parking space use.
  • In freezing areas, in-ground sensors might face issues due to weather-related changes.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Technology Summary
Video Detection
  • Video detection tech counts and categorizes vehicles entering/exiting parking and monitors specific spots.
  • Video cameras alone lack accuracy, but paired with advanced algorithms, they become reliable for counting.
  • Video technology is among the more dependable methods for accurate vehicle counts in parking areas.
Microwave Radar
  • Microwave radar sensors are mounted on poles and count vehicles beside or above driveways.
  • They are common for arterial and freeway management, and they emit multiple radar beams for measuring vehicles in motion.
  • Advanced radars use complex algorithms to detect stationary vehicles in specific spots.
  • They are suitable for monitoring larger parking lots due to the ability to identify unmoving vehicles.
Laser
  • Laser technology employs light detection and ranging (LIDAR) to detect vehicles’ presence and movement.
  • Overhead/side-mounted lasers at entry/exit points count and categorize vehicles.
  • Both laser and radar can have in/out counting errors and need frequent updates.
Mobile Application
  • Mobile apps are unique in TPIMS for parking data collection as they lack a physical sensor.
  • They gather parking availability data by tracking trucker "check-ins" using the app, requiring truckers to report which spaces they are using and for how long.
  • Reservation systems in parking lots employ this, e.g., as seen in ParkUnload.
  • Crowdsourced apps like Trucker Path use mobile reporting for parking availability updates.

Table 5 summarizes three technologies related to truck parking availability data processing technologies.

Table 5. Summary of truck parking availability data processing technologies.

Technology Summary
Central Software
  • Transportation agencies utilize ATMS software for traffic data processing.
  • ATMS is a suitable choice for TPIMS data due to integration with ITS programs.
  • Private-sector services use central software for parking or trucking functions.
  • Central software in reservation systems process reservations by assessing the remaining availability in a given parking facility.
Independent Software
  • Transportation agencies might employ independent software for TPIMS data processing.
  • Reasons include cost-effectiveness by technology vendors or lack of ATMS integration.
  • Agencies might choose independent software due to specific TPIMS features not available in their ATMS.
Software-as-a-Service
  • Certain TPIMS vendors provide software-as-a-service (SaaS) for data processing.
  • Transportation agencies would not have to procure any software and would instead receive processed data feeds.
  • This approach facilitates the movement of data to mobile applications, for applications such as those for reservation systems.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 6 summarizes nine technologies related to truck parking availability data distribution technologies.

Table 6. Summary of truck parking availability data distribution technologies

Technology Summary
Roadside Signs
  • Roadside signing is integral to ITS for traveler info and is also used in TPIMS.
  • Dynamic Parking Availability Signs (DPAS) are the most common, showing static and dynamic text.
  • The static element indicates upcoming rest areas and their distance along a corridor.
  • The dynamic element shows available parking spaces reported by TPIMS.
  • DMS are also used in ITS and TPIMS. They are costlier but more versatile.
  • DMS can convey various messages, including time-sensitive emergencies.
Web-Based Platforms
  • Web-based platforms aid drivers and dispatchers in route planning.
  • Traveler info websites and smartphone apps offer low-cost truck parking data.
  • They provide information on parking amenities and sometimes real-time images.
  • U.S. law restricts truck drivers from using hand-held devices.
  • Private-sector parking reservation apps also fall under this technology category.
In-Cab Systems
  • Many trucking companies use in-cab telematics in their fleet vehicles.
  • Telematics offer navigation, ELDs, fuel optimization, low-bridge data, etc.
  • In-cab systems from manufacturers can incorporate truck parking data, enabling dissemination of parking availability via in-cab systems.
  • Data is sourced from online feeds, either public or private.
GPS Navigation Systems
  • Like in-cab systems, GPS navigation system makers may offer truck parking data, including parking availability information.
  • Data sourced from online feeds, available on onboard or aftermarket systems.
Highway Advisory Radio
  • Highway Advisory Radio (Travelers’ Information Stations) offers info via radio.
  • It is used by governments to provide highway details to travelers but can include truck parking info if operated by a governmental entity.
  • Restrictions might limit truck parking details available for private truck stops.
Citizens Band Radio
  • Truck drivers can share parking availability via CB radio.
  • This method bypasses formal data collection infrastructure and allows drivers to inform others about open parking spots in real-time.
Other Radio Systems
  • Satellite radio services or other local radio stations can also incorporate truck parking information into their traveler information segments.
Call-in Phone Systems
  • Interactive Voice Recognition (IVR) technology can enable call-in phone systems to help truck drivers find parking.
  • Drivers looking for parking would call the IVR system and use voice prompts to get desired truck parking information hands-free.
Travel Information Kiosks
  • Traveler information kiosks at truck stops and rest areas can display truck parking information for drivers.

Information on Real-World TPIMS Deployments

This section discusses research and publications available on real-world TPIMS deployments, including those both planned and deployed. This section starts off by identifying the early precursors that led to TPIMS deployments, which were then followed by regional coalition initiatives to secure grant funding and

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

deploy technology over a wider scale. This section also explores the available published material on TPIMS found outside the United States, although it was noted that many of the projects are found within the United States. Lastly, this section looks at some private-sector examples of TPIMS, and some overlap of private-sector concepts (e.g., parking reservations) in a public-sector environment.

This section provides the real-world examples that helped inform the identification of practices for inclusion in the Guide, as the summation of these experiences reveal the options that a new TPIMS deployer will have to face.

State TPIMS Program Examples

Table 7 in this subsection summarizes six early stage TPIMS program examples. Following the table is additional narrative discussion on these activities.

Table 7. Summary of State TPIMS program examples.

Program Summary
Minnesota 1305 Grant Award and Initial TPIMS Deployment (National Coalition on Truck Parking 2018)
  • Minnesota deployed the first TPIMS pilot in the U.S.
  • The MAASTO effort, a combined public sector TPIMS effort across various Midwestern States, will be discussed in a later subsection. Prior to this effort, Minnesota used State funds and FHWA’s Section 1305 Truck Parking Grant Program for a pilot study that used video cameras with stereoscopic analytics for real-time parking assessment.
  • Provided parking utilization info to drivers through signs, website, and telematics, at a cost of $2,040,940.
  • Study involved University of Minnesota, ATRI, Minnesota DOT (MnDOT), and FHWA. It was published in Jan 2017 and tested the system’s effectiveness. The system reported accurate 24/7 parking availability info to drivers.
  • Feedback collected from drivers/operators on parking shortages and information delivery.
Michigan 1305 Grant Award and Initial TPIMS Deployment (National Coalition on Truck Parking 2018)
  • Michigan installed TPIMS on I-94 through FHWA’s Truck Parking Facilities Discretionary Grants program at a total grant amount of $4.5 million.
  • Used wireless magnetometers for entry/exit counts at rest areas and video cameras for private facilities.
  • Real-time info provided through roadside DMS, smartphone apps, in-cab displays, websites.
  • MDOT started the TPIMS effort in 2012 with a Concept of Operations (ConOps) (National Coalition on Truck Parking 2018) and in May 2016, an evaluation confirmed its successful implementation with modified equipment.
  • Output data was successfully integrated with traffic management systems.
  • Survey found that drivers found the parking info systems valuable and time-saving. Dynamic truck parking signs were preferred by drivers over websites/apps.
  • A safety evaluation did not detect effects due to limited pilot area. However, rest areas were found to generally enhance safety, suggesting TPIMS could have a protective effect.
  • Data indicated consistent parking space occupancy during pilot; calibration and malfunctions improved over time.
  • Initial deployment is still operational and is now part of the MAASTO TPIMS Partnership project (National Coalition on Truck Parking 2018).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
California Smart Truck Parking Implementation (National Coalition on Truck Parking 2018)
  • The Smart Truck Parking project was a collaboration among FHWA, the California DOT (Caltrans), UC Berkeley, and partners, funded by an FHWA Section 1305 grant.
  • The goal was to demonstrate real-time parking availability at I-5 truck stops.
  • Tested video detection, in-ground sensors (induction, magnetic, infrared, radio-frequency identification (RFID), optical) in Sacramento and Stockton.
  • Information collected was broadcasted on DMS and americantruckparking.com, updated every 5 minutes for private/public rest areas and fueling locations.
  • The site also had a broader truck parking availability demo, which allowed user submissions of truck parking locations.
Tennessee DOT and Federal Motor Carrier Safety Administration (FMCSA) Efforts (Mid-America Freight Coalition 2015)
  • Tennessee’s TPIMS was an early deployment, smaller than the Minnesota and Michigan efforts. It involved a collaboration between Tennessee DOT (TDOT) and the FMCSA.
  • The project aimed to reduce illegal parking along I-75 in eastern Tennessee.
  • FMCSA began research and development in 2007 under an Innovative Technology Deployment (ITD) grant. In 2011, two I-75 rest areas were equipped with truck parking information infrastructure.
  • Phase I tested the accuracy of technology to determine truck occupancy counts. Doppler radar with side-fire laser scanning was chosen (93% accuracy).
  • Phase II demonstrated linking different truck parking areas, reservation systems, and information dissemination. Dissemination methods consisted of dynamic signs, voice recognition, website, mobile app.
  • The field test ended in September 2016 (National Coalition on Truck Parking 2018) and TDOT is not using the parking availability system due to calibration issues.
I-95 Corridor Coalition TPIMS Grant Award (National Coalition on Truck Parking 2018)
  • I-95 Corridor Coalition (now Eastern Transportation Coalition) received an FHWA grant for Truck ‘N Park pilot.
  • This system uses radar and magnetometer sensors for space-by-space availability monitoring. Initial testing occurred at I-95 Northbound in Virginia and Maryland.
  • The deployment includes five public rest areas in Virginia: Ladysmith, Carson, Dale City, New Kent Eastbound, New Kent Westbound.
  • In March 2018, operation was shifted to VDOT and integrated into the Statewide ATMS.
  • Availability info is disseminated through the Truck ‘N Park website, a voice response system, roadside signs, VDOT 511, SmarterRoads Data Portal.
  • The SmarterRoads online portal allows third-party access and public use of Park ‘N Ride data. However, as of 2022, this feature does not appear on the VDOT 511 website (Virginia Department of Transportation n.d.).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Florida TPIMS Program (University of Florida 2016)
  • The Florida DOT (FDOT) pilot began on I-95 in St. John’s County with microwave radar sensors to count trucks, ingress/egress points, and provide advance notification on a roadside sign. The University of Florida evaluated in-ground sensors from four vendors to compare collected data to that of video logs.
  • FDOT received a $1M Accelerated Innovation Deployment (AID) grant and an $11M Fostering Advancements in Shipping and Transportation for The Long-Term Achievement of National Efficiencies (FASTLANE) grant to support deployments on I-95, I-4, I-75, and I-10.
  • The deployment covered 45 rest areas, 20 weigh stations, and three welcome centers (Tucker and Frost 2018) with a total of 2,352 truck parking spaces; 477 were monitored via radar, and 1,875 via Wireless Detection System (WDS).
  • Deployment spanned FDOT districts, and used multiple vendors based on their evaluation.
  • The TPAS devices were integrated into the ITS network with minimal disruption.
  • Roadside sign criteria included compliance with the Manual on Uniform Traffic Control Devices (MUTCD), location, and closed-circuit television (CCTV) co-location.
  • Supplemental sponsorship signs were used with FHWA approval.
  • All processing occurred in FDOT’s Regional Traffic Management Centers using SunGuide ATMS platform.
Minnesota 1305 Grant Award and Initial TPIMS Deployment

Minnesota was the first state in the U.S. to deploy a TPIMS pilot. Minnesota used a combination of state funds and FHWA’s Section 1305 Truck Parking Grant Program to implement a pilot study that detected parked trucks at various locations (National Coalition on Truck Parking 2018). Video cameras with stereoscopic video analytics tools were used to assess parking utilization and availability in real-time. The information about parking utilization was then conveyed to truck drivers via roadside message signs, a website portal, and in-cab telematics applications.

This pre-MAASTO TPIMS had a project cost of $2,040,940. The University of Minnesota, ATRI, MnDOT and FHWA’s Office of Freight Management and Operations conducted a study, published in January 2017, to test the effectiveness of this deployment. The researchers sought feedback from drivers and operators to better understand their perceptions of parking shortages and the utility of the parking information delivery mechanisms. Overall, the system was reported to provide accurate 24/7 information about truck parking availability to drivers.

Michigan 1305 Grant Award and Initial TPIMS Deployment

Michigan installed TPIMS on I-94 as part of the FHWA’s Truck Parking Facilities Discretionary Grants program (National Coalition on Truck Parking 2018), which pre-dates the MAASTO effort a few years later. This grant amount was $4.5 million and used wireless magnetometers for entry/exit count detection at public rest areas and per-space detection using video cameras at private facilities. Roadside DMS, smartphone apps, in-cab displays, and multiple websites published the real-time information for drivers. In 2012, MDOT began this effort through development of a TPIMS ConOps to deploy TPIMS along I-94 from the Indiana border to east of the I-94/I-69 interchange (Michigan Department of Transportation 2012). In May 2016, MDOT evaluated the TPIMS, and the results of the evaluation confirmed that the parking system was successfully implemented using modified off-the-shelf equipment, and output data was successfully

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

integrated with existing traffic management systems (Woodroofe et al. 2016). Further, the evaluation found that directing more resources to detector and system optimization could improve parking count accuracy.

Drivers who were surveyed agreed that parking information systems were personally valuable to the driver and could save them time while driving. The study found that drivers selected dynamic truck parking signs as their preferred source of parking information as compared to other sources such as website-based applications or smartphone applications. Drivers found the signs to be both clear and useful, suggesting that acceptance of this source to be quite high. However, the results of the safety evaluation conducted as part of this study showed that the safety effects from the TPIMS were not detectible in the study. This is due to the limited area of implementation of the pilot parking information system. Nevertheless, prior research on the impact of rest areas showed that they provide a real protective effect, reducing crashes along the roads where they are located. Thus, there is evidence to support that providing information about the availability of truck parking would have a protective effect as well. Analysis of data also indicated that there was good consistency in the parking space occupancy during the duration of the pilot. The calibration corrections were significant for both the private and public rest areas but showed improvements over time. Similarly, the number of malfunctions per month showed improvement towards the end of the pilot period.

The initial deployment is still in operation today and is relevant to the MAASTO TPIMS Partnership project, as it is a comparable system and located within project corridors (National Coalition on Truck Parking 2018).

California Smart Truck Parking Implementation

The Smart Truck Parking project was a collaborative implementation and research effort among the FHWA, Caltrans, the University of California at Berkeley, and other partners. The project, supported by an FHWA Section 1305 grant, was designed to demonstrate real-time parking availability at truck stops on I-5. The project tested video detection and in-ground sensors (including induction, magnetic, infrared, RFID, and optical) at truck parking facilities in the cities of Sacramento and Stockton. Four (4) stakeholder outreach efforts were planned to discuss design options, recruit early adopters, and facilitate accelerated deployment.

Information collected from these areas was broadcast on DMS and on americantruckparking.com, where information is updated every 5 minutes. The site had information on both private and public rest areas, and truck fueling locations. Dynamic truck parking availability for certain sites in California would be updated at least every 5 minutes. The site also had a broader truck parking availability demonstration effort, where users can submit truck parking spot locations (National Coalition on Truck Parking 2018, Martin 2014).

TDOT and FMCSA Efforts

Tennessee was one of the early TPIMS deployments done in the U.S., although its footprint is smaller than efforts done by peers in Minnesota and Michigan. This effort—which included TDOT and FMCSA—aimed to reduce illegal and dangerous parking practices along I-75 in eastern Tennessee (Perry et al. 2015). The FMCSA program, named SmartPark, implemented a National Transportation Safety Board recommendation that the agency provide information on truck parking availability.

In 2007, the FMCSA began research and development of an experimental truck parking information system as part of an ITD, formally Commercial Vehicle Information Systems and Networks (CVISN), grant. Starting in 2011, two rest areas in Tennessee approximately 20 miles apart on I-75 north were equipped with truck parking information infrastructure to support two project phases. Phase I was to demonstrate a technology sufficiently accurate to determine truck parking occupancy count. After determining that magnetometers and video detection did not suffice, an FMCSA-tested Doppler radar combined with either laser scanning or light curtain was used instead. CCTV cameras, a network video recorder, and a project website were used to verify accuracy of the truck parking occupancy count. A study

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

determined that different combinations of Doppler radar combined with either laser scanning or light curtain were all at least 93 percent accurate in performing truck counts and classifications.

After determining that the optimum technology was Doppler radar combined with side-fire laser scanning, FMCSA used this technology in Phase II to demonstrate (1) how two truck parking areas could be linked so that trucks can be diverted from a full area to one with availability, (2) how a truck parking reservation system could work, and (3) how truck parking availability information could be disseminated. Methods of dissemination that were demonstrated included: dynamic message signs, IVR, a SmartPark Research Project Website, and a mobile application (smartphone). Phase II of the study was conducted using the truck parking areas at mile markers 23 and 45 northbound on I-75 in Tennessee, located about 20 miles north of Chattanooga and halfway between Chattanooga and Knoxville, respectively. The field test ended in September 2016 (National Coalition on Truck Parking 2018).

According to the literature, TDOT is not currently using truck parking availability following this demonstration period because the system was reportedly too cumbersome to keep calibrated.

I-95 Corridor Coalition TPIMS Grant Award

The I-95 Corridor Coalition (now named the Eastern Transportation Coalition) received an FHWA grant award to pilot a truck parking system called Truck ‘N Park (National Coalition on Truck Parking 2018). This system uses space-by-space availability monitoring through in-ground sensors, comprised of both radar and magnetometer. Initial testing of this technology was conducted at I-95 Northbound at Ladysmith, Virginia, and at the I-95 Northbound Welcome Center in Maryland. Final deployment of the Truck ‘N Park system includes five public rest areas in Virginia, three of which are located on I-95 Northbound at Ladysmith, Carson, Dale City, and two of which are located on I-66 at New Kent Eastbound and New Kent Westbound.

In March 2018, the I-95 Corridor Coalition transitioned operation and maintenance of the Truck ‘N Park system to VDOT, where it was integrated into VDOT’s Statewide ATMS. Dissemination of the truck parking availability information is done in the following ways:

  • Truck ‘N Park website.
  • Interactive voice response system with an automatic call-back feature.
  • Roadside message signs operated by VDOT.
  • VDOT 511 system.
  • VDOT SmarterRoads Data Portal.

The SmarterRoads cloud-based portal allows access to Truck ‘N Park data to third-party enterprises (including for developer incorporation into apps) and the general public. However, as of 2022, this truck parking availability feature does not appear on the VDOT 511 website (Virginia Department of Transportation n.d.).

CV program, including all applications (Balke and Simek 2022)

Florida TPIMS Program

FDOT invested in deploying TPIMS with a pilot along I-95 at one site in St. John’s County, using microwave vehicle detection system (MVDS) sensors to count trucks and ingress/egress points of the truck parking lot, as well as provide advance notification on a roadside sign along I-95. The University of Florida also conducted an evaluation of in-ground sensors, testing four separate vendors to measure availability and contrast this reported availability against ground-truth data collected via video logs (University of Florida 2016). FDOT received two Federal grants to support this effort, a $1M Federal AID grant and an approximately $11M FASTLANE grant. From there, TPAS was deployed along four corridors: I-95, I-4, I-75, and I-10 (Florida Department of Transportation State Traffic Engineering and Operations Office 2016).

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

This deployment totaled to 45 rest areas, 20 weigh stations, and three welcome centers where trucks frequently park (Tucker and Frost 2018). This equated to a total of 2,352 truck parking spaces, of which 477 were monitored via MVDS and 1,875 were monitored using WDSs. This spanned across all FDOT districts and utilized multiple vendors that met the established specification (as determined in coordination with the University of Florida evaluation). Data collection used either the in-ground sensors or sensors to monitor ingress/egress.

TPAS devices were integrated into the ITS communication network with minimal disruption, and existing ITS service drops were used wherever feasible to reduce the electrical impact. Uninterruptible power supplies and solar panels were not used to provide electrical power.

Concept plans were developed for each design-build effort, which identified sign locations and guide sign worksheets for design. Roadside signs were deployed based on certain criteria, including being 2 to 3 miles upstream of the parking facility (preferably prior to an upstream entrance ramp for better decision-making), compliance with the MUTCD, nearby presence of ITS communication and power services, and co-location with a CCTV camera for message verification. Unique to FDOT was use of supplemental sponsorship signs, which is posted on TPAS signs and required FHWA approval. Other information dissemination included the Florida 511 system and, in the future, acknowledgment of connected vehicle communications.

All processing occurred in FDOT’s Regional Traffic Management Centers using their SunGuide ATMS platform

MAASTO Regional TPIMS Grant Award and Deployment

The MAASTO project is one of the more recognizable public-sector TPIMS deployments in the U.S. because of its geographic extent and interoperability requirements. MAASTO, which represented a participating block of Midwestern States including Iowa, Indiana, Kansas, Kentucky, Michigan, Minnesota, Ohio, and Wisconsin, received a $25 million Transportation Investment Generating Economic Recovery (TIGER) grant from FHWA to develop and implement a regional TPIMS. As discussed earlier, two of the participating MAASTO States (Michigan and Minnesota) had already deployed TPIMS as part of a separate initiative, allowing for expansion in their respective States.

The overall project cost was $29 million, with the remainder of funds coming from participating States. The project was led by KDOT but represented a coordinated truck parking management solution in the Midwest region. Means of detection and notification were uniquely defined within each state, but the information from each state was to be collected through standard extensible markup language (XML) feeds and shared through a common application programming interface (API) via DMS, traveler information websites, and a smart phone app. One key development in this project was the Regional TPIMS Data Exchange Specification Document (MAASTO 2018), which standardized the data feed containing JavaScript Object Notation (JSON) scripting language that all third-party application developers would need in order to display TPIMS data on their platforms. This data exchange specification, which has been updated as requirements evolve, is one potential tool that could help lead toward national interoperability on TPIMS programs.

TPIMS was installed under this grant at public rest areas and private sites along key Midwestern Interstate truck routes, including I-35, I-64, I-65, I-70, I-71, I-75, I-80, I-94, and I-135 in various States. Each state led the design and development of their respective TPIMS, which often saw different approaches in terms of public/private lot use, construction approach, and means to collect, process, and distribute the data. The complete system went online in 2019.

Table 8 summarizes eight TPIMS examples within the MAASTO Regional TPIMS Grant Award.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 8. Summary of MAASTO Regional TPIMS Grant Award and deployment examples.

Program Summary
Wisconsin TPIMS Program (Wisconsin Department of Transportation 2016)
  • Wisconsin DOT (WisDOT) deployed TPIMS on I-94 in 2016 for 157 truck stalls, with the goal of connecting with Minnesota’s system.
  • The 2016 system used video pattern recognition and magnetometer detection. Magnetometers counted entering/exiting vehicles and the video system analyzed parking space occupancy.
  • The data was integrated into Wisconsin 511, DMS, WisDOT traffic feed, and third-party apps like Truck Specialized Parking Service (TSPS).
  • The MAASTO project in 2017 expanded TPIMS on I-94 with 241 truck stalls, using the same technology.
  • WisDOT received $2M with $300,000 State match for the 2017 deployment (Wisconsin Department of Transportation n.d.).
  • 12 public rest areas were included with entrance/exit counting; no private sites were included (Illinois Department of Transportation 2019).
  • MAASTO’s data quality reports (Q2 2019) noted 84% accuracy, 24% downtime for Wisconsin’s TPIMS (Illinois Department of Transportation 2019).
Minnesota TPIMS Program (Minnesota Department of Transportation n.d.)
  • MnDOT’s initial TPIMS served as the foundation for subsequent MAASTO project systems. MnDOT received a $1.2M in TIGER grant and contributed $177,000.
  • MnDOT installed TPIMS with in-ground sensors at seven rest areas on I-94 and I-35.
  • Data was sent to MnDOT’s Transportation Management Center, displayed on DMS, trucker 511 page, and sent to trucking dispatch centers (National Coalition on Truck Parking 2018).
  • All Minnesota deployment sites are public; a total of five sites with 130 equipped parking spaces (Illinois Department of Transportation 2019).
  • MAASTO’s Q2 2019 data quality reports indicated 98% accuracy, 52% downtime for Minnesota’s TPIMS (Illinois Department of Transportation 2019).
Kansas TPIMS Program (National Coalition on Truck Parking 2018)
  • KDOT initiated TPIMS installation in December 2017 with DMS at 18 I-70 rest areas that displayed available parking spaces, updated every 5 minutes.
  • "Computer vision" system used cameras to create a 3D image of parking area for automatic space detection (Land Line 2017).
  • Kansas received $5 million from TIGER grant, and contributed 10%, around $487,000.
  • Monitoring covered about 160 public parking spaces across rest areas. No private sites were included.
  • Information was shared through DMS, 511 system, third-party apps (Illinois Department of Transportation 2019).
  • MAASTO’s Q2 2019 data quality reports indicated 90% accuracy, 14% downtime for Kansas’s TPIMS (Illinois Department of Transportation 2019).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Iowa TPIMS Program (National Coalition on Truck Parking 2018)
  • Iowa DOT partnered with a contractor in December 2017 to collect truck parking data along I-80 using various sensors.
  • A combination of in-ground sensors, video cameras, and entrance/exit counts were used for TPIMS.
  • The system was deployed across 41 facilities, including 24 rest areas, 15 private truck stops, 1 casino, 1 restaurant, covering I-80, I-29, I-35, I-235, and I-380.
  • Data disseminated through Iowa’s 511 Traveler Info System, mobile apps, and in-cab apps (eX2 2019).
  • Iowa DOT was awarded a $3.9 million contract, received a $3.4 million TIGER grant, and contributed $498,086.
  • The combination of public and private truck parking spaces exceeded 2000 (Illinois Department of Transportation 2019).
  • MAASTO’s Q2 2019 data quality reports indicated 97% accuracy, 6% downtime for Iowa’s TPIMS (Illinois Department of Transportation 2019).
Ohio TPIMS Program (National Coalition on Truck Parking 2018)
  • The Ohio DOT (ODOT) deployed TPIMS at four I-70 rest areas, all I-75 rest areas, and U.S. 33 Smart Corridor rest areas.
  • System used in/out counting with magnetic and/or infrared pucks.
  • Data disseminated through traveler websites, message signs, and mobile apps (Illinois Department of Transportation 2019).
  • Ohio received a $6.4 million TIGER grant.
  • A series of signs indicate available spaces as trucks approach rest areas. Construction was completed by 2019.
  • MAASTO’s Q2 2019 data quality reports indicated 87% accuracy, 10% downtime for Ohio’s TPIMS (Illinois Department of Transportation 2019).
Indiana TPIMS Program (National Coalition on Truck Parking 2018)
  • The Indiana DOT (INDOT) used in/out sensors at 19 sites on I-65, I-69, I-70 for real-time truck parking tracking (Indiana Department of Transportation 2019).
  • Sensors were calibrated to the lot size and counted entering/exiting trucks to calculate open spaces.
  • Information was displayed on DMS, traveler websites, and trucker apps.
  • Magnetometers were used as wireless pucks at entrances/exits and were recalibrated daily.
  • DMS were installed 15 miles before the parking areas, showing nearby parking spaces available.
  • INDOT received $5.32 million as a grant, with a 12.7% State match ($608,580) for the original the Federal funds ($4.15 million).
  • The deployment planned to include welcome centers, rest areas, weigh stations; private sites could also join (National Coalition on Truck Parking 2018).
  • MAASTO’s Q2 2019 data quality reports indicated 70% accuracy, 6% downtime for Indiana’s TPIMS (Illinois Department of Transportation 2019).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Kentucky TPIMS Program (Kentucky Transportation Cabinet n.d.)
  • The Kentucky Transportation Cabinet (KYTC) deployed TPIMS on I-65, I-71, and I-75.
  • Dissemination was through DMS and traveler info websites.
  • Kentucky used an in/out method at entrance/exit driveways for data collection.
  • Kentucky received a $2.7 million TIGER grant and matched around $407,000 (Kentucky Transportation Cabinet n.d.).
  • About nine sites with 375 public spaces and 14 private sites with 1560 private spaces (Illinois Department of Transportation 2019).
  • MAASTO’s Q2 2019 data quality reports indicated 82% accuracy, 3% downtime for Kentucky’s TPIMS (Illinois Department of Transportation 2019).
Michigan TPIMS Program (eX2 n.d.)
  • MDOT included new parking locations on I-275, I-75, I-94, with truck parking availability signs.
  • Real-time parking availability was shown through DMS, apps, in-cab displays, and websites (including MDOT’s Mi Drive traffic information site).
  • DMS placed within 30 minutes or 30 miles of the farthest destination on the sign to avoid misleading changes. The data was updated every 3 to 5 minutes.
  • About eight public sites with 194 spaces, 22 private sites with 942 spaces (Illinois Department of Transportation 2019).
  • MAASTO’s Q2 2019 data quality reports indicated 43% accuracy, 7% downtime for Michigan’s TPIMS (Illinois Department of Transportation 2019).
Wisconsin TPIMS Program

WisDOT deployed TPIMS in 2016 on I-94 for 157 truck stalls, originally prior to the MAASTO deployment and as part of an initiative to provide truck parking continuity between Wisconsin and neighboring Minnesota (with a system discussed in the Examples of TPIMS Deployments section of the Identifying the Purpose and Need for TPIMS chapter) (Wisconsin Department of Transportation 2016). The 2016 deployment used video pattern recognition (developed by the University of Minnesota and utilized at one site) and magnetometer detection (utilized at three sites). The magnetometers counted vehicles entering and exiting the truck parking areas, and the video system analyzed how many parking spaces were occupied in real-time. The data was deployed to Wisconsin 511, roadside DMS, and through the WisDOT traffic data feed for third-party apps, such as TSPS. The 2017 deployment of TPIMS as part of the MAASTO project expanded the I-94 eastbound and I-94 westbound portions and consisted of 241 public truck stalls using the same technology. WisDOT received approximately $2 million and contributed a state match of $300,000. A total of 12 public rest areas utilized entrance/exit counting (Wisconsin Department of Transportation n.d.). No private sites are included in the Wisconsin TPIMS (Illinois Department of Transportation 2019).

Minnesota TPIMS Program

MnDOT’s initial TPIMS effort—discussed in Section 5.1—served as a starting point for subsequent systems added as part of the MAASTO project. Upon receiving the $1.2 million TIGER grant and contributing approximately $177,000, MnDOT installed TPIMS at seven rest areas on I-94 and I-35 that used in-ground sensors to detect the presence of trucks (Minnesota Department of Transportation n.d.). MnDOT also planned to retrofit the pilot sites with this technology. The information from the sensors was

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

sent to MnDOT’s Regional Transportation Management Center, where it was relayed to DMS along the highway that displays the number of spaces available at a rest area. The information was also displayed on MnDOT’s trucker 511-highway information page and forwarded to trucking company dispatch centers (National Coalition on Truck Parking 2018).

All sites in the Minnesota deployment are public. 130 parking spaces are equipped across five public sites. No private sites were part of this deployment (Illinois Department of Transportation 2019). Various sources provide slightly different counts, which may be a result of changes that occurred during project development.

Kansas TPIMS Program

KDOT began installing their TPIMS in December 2017. DMS provide the number of available truck parking spaces at 18 rest areas along I-70. The information on each sign was updated every 5 minutes and showed parking space availability for two to three rest areas to provide truck drivers an idea how full parking areas are in advance of reaching the facilities. KDOT used a "computer vision" system that uses cameras to build a 3D image of the parking area so available spaces could be automatically detected using a space occupancy detection method (Fisher 2022). Most rest areas would have two camera poles installed near the truck parking area and each pole will have three cameras mounted on it to produce the 3D image. Kansas received approximately $5 million from the TIGER grant and contributed 10 percent, approximately $487,000 (National Coalition on Truck Parking 2018).

Among the rest areas, about 160 public parking spaces were monitored as part of this effort. No private sites were included in this deployment. Information distribution used roadside DMS, the 511 system, and third-party applications. One noted challenge was that good lighting is necessary for the system to work (Illinois Department of Transportation 2019). Various sources provide slightly different counts, which may be a result of changes that occurred during project development.

Iowa TPIMS Program

In December 2017, the Iowa DOT announced that it has partnered with a contractor to collect truck parking availability data from parking areas along I-80 using a variety of in-pavement and entrance/exit ramp sensors. Iowa used a combination of space detection via in-ground sensors, video cameras, and entrance and exit counts for their TPIMS. The TPIMS was deployed across 41 facilities—24 rest areas, 15 private truck stops, 1 casino and 1 restaurant. The roads associated with the TPIMS included I-80, I-29, I-35, I-235 and I-380. Truck parking information was disclosed via Iowa’s 511 Traveler Information System, mobile apps (hands-free, FMCSA–compliant), and in-cab applications (eX2 2019). The system was scheduled to go live in January of 2019. Unlike other TPIMS deployments, Iowa’s does not use DMS. The combination of public and private truck parking spaces exceeded 2000 (Illinois Department of Transportation 2019).

Iowa DOT was awarded a $3.9 million contract to implement and test the TPIMS, as well as maintain it for three years following final deployment. Iowa DOT received $3.4 million from the TIGER grant and contributed a match of $498,086 (National Coalition on Truck Parking 2018).

Ohio TPIMS Program

ODOT deployed TPIMS at four rest areas on I-70, all rest areas on I-75, and one set of rest areas along the U.S. 33 Smart Corridor between Dublin and Marysville. This system used in/out counting through use of magnetic and/or infrared pucks, with some stall counts done using the same equipment. Data was distributed to traveler information websites, message signs, and mobile trucker applications (Illinois Department of Transportation 2019).

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

ODOT utilized a performance-based contract which allows the contractor flexibility regarding the method of parking space detection the contractor utilizes. Ohio received $6.4 million from the TIGER grant and matched approximately $785,000. ODOT awarded a 3-year design, operate, maintain contract. The contractor deployed a series of signs, denoting spaces available as trucks approach each rest area. The construction portion of the contract was completed by 2019 (National Coalition on Truck Parking 2018). The contractor is responsible for making sure information is distributed to the public

Indiana TPIMS Program

INDOT used in/out sensors at 19 sites to track where open truck parking spaces exist in real-time (Indiana Department of Transportation 2019). The sensors were calibrated according to how many spaces exist in each lot. The sensors then count the number of trucks that enter the facility to park and the number of trucks that exit the parking site. The number of open spaces is automatically calculated and displayed on DMS along the Interstate, overseen by INDOT’s Traffic Management Center (TMC). The sensor equipment features magnetometers, which are in-ground, wireless pucks at the entrances and exits of the parking lot. The system was recalibrated once a day, and the information was automatically updated to the system every 15 minutes to appear on DMS, as well as to traveler information websites and trucker mobile applications. DMS were installed approximately 15 miles before the truck parking area and included not only the amount of parking spaces for the closest parking area, but also for the one or two parking areas after that. Indiana’s 19 sites include rest areas on I-65, I-69, and I-70. Indiana received approximately $5.32 million from the TIGER grant and had a state 12.7 percent match of $608,580 for the original Federal funds of $4.15 million (National Coalition on Truck Parking 2018).

Indiana installed cameras that oversee the parking areas to aid the TMC as a backup confirmation on the number of trucks in the parking lot. Indiana hoped to eventually expand the project to include all of INDOT’s welcome centers, rest areas, and weigh stations. At that time, private truck stops could be invited to join the system by their investments into the sign additions and construction expansion, but no private sites were included as part of this rollout (Illinois Department of Transportation 2019)

Kentucky TPIMS Program

KYTC deployed TPIMS along I-65, I-71, and I-75 (Kentucky Transportation Cabinet n.d.). The TPIMS disseminated parking information through a variety of means, including DMS and traveler information websites. Kentucky used an in/out data collection method in the entrance and exit driveways to the truck parking areas. Kentucky received $2.7 million from the TIGER grant and contributed approximately $407,000 in matching funds (National Coalition on Truck Parking 2018).

The Kentucky TPIMS covered both public and private sites. Approximately nine sites with 375 public spaces were included, as well as 14 private sites with 1560 private parking spaces (Illinois Department of Transportation 2019). Various sources provide slightly different counts, which may be a result of changes that occurred during project development

Michigan TPIMS Program

MDOT’s initial TPIMS effort—discussed in Section 5.1—served as a starting point for subsequent systems added as part of the MAASTO project. MAASTO allowed MDOT to expand TPIMS to include new parking locations at additional sites along I-275, I-75, and I-94, as well as additional truck parking availability signs on the roadside (eX2 n.d.). This expanded the capabilities to a larger footprint.

MDOT displayed real-time parking availability at these locations to drivers via DMS, smartphone apps, in-cab displays, and multiple websites (including MDOT’s Mi Drive traffic information site). The DMS are placed a maximum of 30 minutes or 30 miles upstream from the farthest destination on the sign. This spacing standard was used to minimize the likelihood that the number of available spaces would

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

substantially change prior to a trucker’s arrival at the parking facility. The data on the signs updated every 3 to 5 minutes. Private truck parking locations were displayed on the sign only by their exit number to remove perception of advertising.

Both public and private sites are part of the MDOT TPIMS effort. An estimated eight public sites provide over 194 public parking spaces, and 22 private sites provide over 942 private parking spaces (Illinois Department of Transportation 2019). Various sources provide slightly different counts, which may be a result of changes that occurred during project development.

I-10 Corridor Coalition TPAS Grant Award and Deployment

The I-10 Corridor Coalition was formed in 2016 and is made up of four DOTs in Arizona, California, New Mexico, and Texas (National Coalition on Truck Parking 2018). The goal of the Coalition is to create safer, more efficient commercial and personal travel along this corridor. The Coalition adopted a memorandum of understanding in September 2017 at the American Association of State Highway Transportation Officials’ (AASHTO’s) annual meeting, building on a charter executed in 2016. The Coalition’s first collective pooled-fund project involved the development of a ConOps for technologies and strategies to improve freight movement in the corridor. After preparing a detailed corridor database and synthesis of freight technologies and strategies, the Coalition’s project contract team conducted stakeholder workshops in all four States in the summer of 2016. The group held a workshop in Phoenix in April 2018 to decide which functional steps or applications to include in the ConOps. One of the functional use cases to be documented is truck parking information systems.

In June of 2018, Texas DOT (TxDOT) submitted to the U.S. DOT, on behalf of the four States of the I-10 Corridor Coalition, an ATCMTD grant request for $6.8 million, with an equal amount of state match (Texas Department of Transportation 2020). The purpose of the grant was to deploy the I-10 Corridor Coalition TPAS. The grant was awarded to the I-10 Corridor Coalition, and TxDOT is the lead state on the project.

The project began in late 2019 and will implement a truck parking availability detection and information system at 37 public truck parking locations along the I-10 Corridor from California to Texas. The initial deployment of the I-10 Corridor Coalition TPAS will focus on collecting and providing truck parking information for public facilities. This will be accomplished with roadside signing, as well as existing state 511 and road information system platforms. In the future, the Coalition will explore incorporating the private-sector operated truck plazas into the system and wider options for truck parking dissemination may be developed.

The proposed corridor is anticipated to be launched in 2024, with most construction occurring in 2023 and early 2024.

Table 9 summarizes four examples of state TPAS deployments within the I-10 Corridor Coalition.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 9. Summary of I-10 corridor coalitions TPAS grant award and deployment examples.

Program Summary
Texas TPAS Program (I-10 Corridor Coalition 2022)
  • TxDOT is in the process of developing design and procurement documents for its TPAS system.
  • TxDOT plans to deploy TPAS monitoring equipment at 16 Safety Rest Areas (SRAs) and two Travel Information Centers (TICs) along I-10, integrating it into their overall ITS program.
  • Real-time parking availability assessment will be based on entrance and exit counts using ITS monitoring equipment on ramps.
  • Truck parking availability data will be displayed on 18 DPAS owned, operated, and maintained by TxDOT along I-10.
  • Some DPAS will display parking availability data for adjacent States’ facilities due to proximity, requiring data exchange agreements.
  • TxDOT plans to use various procurement methods for TPAS deployment, including traditional design-bid-build for civil elements and separate contracts for detection equipment and software updates.
  • The project’s insights will aid TxDOT’s expansion of TPAS to other challenging parking areas within Texas.
New Mexico TPAS Program (I-10 Corridor Coalition 2022)
  • As of 2022, the New Mexico DOT (NMDOT) was developing design and procurement documents for its TPAS system.
  • NMDOT plans to deploy TPAS monitoring equipment at three rest areas and two welcome centers along I-10, integrating it into their overall ITS program.
  • Real-time parking availability assessment will be based on entrance and exit counts using monitoring equipment on ramps.
  • Truck parking availability data will be displayed on seven DPAS owned, operated, and maintained by NMDOT along I-10.
  • Some DPAS will display parking availability data for adjacent States’ facilities due to proximity, requiring data exchange agreements.
  • NMDOT plans to use various procurement methods for TPAS deployment, including traditional design-bid-build for civil elements and utilizing the Southwest Research Institute (SwRI) for software updates.
  • The project’s insights will aid NMDOT’s efforts to integrate TPAS into its overall ITS program and improve truck parking information dissemination.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Arizona TPAS Program (I-10 Corridor Coalition 2022)
  • The Arizona DOT (ADOT) is in the process of developing design and procurement documents for its TPAS system, with potential changes possible before deployment.
  • ADOT plans to deploy TPAS monitoring equipment at eight rest areas along I-10, integrating it into their overall ITS program.
  • Real-time parking availability will be determined by assessing the real-time utilization of individual truck parking stalls.
  • ADOT’s ATMS will be modified to process truck parking availability data and distribute it to road users and public data portals.
  • Truck parking availability data will be displayed on seven DPAS owned, operated, and maintained by ADOT along I-10.
  • Some DPAS will display parking availability data for adjacent States’ facilities due to proximity, requiring data exchange agreements.
  • ADOT will utilize two procurement methods for TPAS deployment: traditional design-bid-build for civil elements and updates to their ATMS software to accommodate TPAS equipment.
  • The insights gained from this effort will contribute to enhancing ADOT’s overall ITS program and improving truck parking information dissemination.
California TPAS Program (I-10 Corridor Coalition 2022)
  • As of 2022, Caltrans is developing design and procurement documents for its TPAS system, subject to potential changes before deployment.
  • TPAS monitoring equipment is planned to be deployed at six rest areas along I-10, integrated into Caltrans’ overall ITS program.
  • Real-time parking availability will be assessed by comparing real-time entrance counts with exit counts, with data sent to Caltrans for processing.
  • Real-time truck parking availability data will be displayed through DPAS along I-10, owned, operated, and maintained by Caltrans.
  • Certain DPAS will display parking availability data for adjacent States’ facilities due to proximity, requiring data exchange agreements.
  • Caltrans will use two procurement methods for TPAS deployment: traditional design-bid-build for civil elements and adopting SwRI’s ActiveITS to support TPAS.
  • Caltrans will also conduct a pilot project for detection technology to determine the preferred solution for data collection after deployment of physical infrastructure.
Texas TPAS Program

TxDOT’s current plan is to deploy TPAS monitoring equipment at 16 SRAs and two TICs along I-10 (I-10 Corridor Coalition 2022). The TPAS equipment will be integrated into TxDOT’s overall ITS program. TxDOT is anticipated to assess real-time parking availability by assessing the real-time entrance counts against the real-time exit counts. To facilitate this methodology, ITS monitoring equipment will be deployed on the entrance and exit ramps to a truck parking site to count incoming and outgoing trucks at each site. TxDOT has selected a contractor eX2 to provide the detection technology for ramp counting and to provided available parking space counts at least every 5 minutes. The contractor is responsible for monitoring the available space count accuracy and resetting the number of available spaces to stay within contractual accuracy values. Data from eX2 will be sent to TxDOT for posting on dynamic truck parking availability signs and distribution through an API. TxDOT currently uses SwRI’s ActiveITS product (named LoneStar) as the ATMS software in its TMC. TxDOT will use LoneStar to post parking availability on the dynamic truck parking signs, as well as distribute information to other public data portals (e.g., DriveTexas website).

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

TxDOT will distribute the real-time truck parking availability data through roadside signing with dynamic matrix panels along I-10. These signs will be owned, operated, and maintained by TxDOT. A total of 18 DPAS will be placed along I-10 within Texas, nine in both the eastbound and westbound directions. Certain westbound DPAS in the western portion of Texas will display real-time information for truck parking facilities located in New Mexico due to proximity. Similarly, certain eastbound DPAS along I-10 in eastern New Mexico—installed as part of the NMDOT TPAS project, as part of the I-10 Corridor Coalition effort—will display parking availability data for Texas facilities. TxDOT also has a unique circumstance where one of the DPAS is located across a state boundary in Louisiana, which is not part of the four-state coalition; in this instance, an agreement will need to be worked out with the State of Louisiana for how that sign is operated.

NMDOT and TxDOT will be responsible for maintaining the DPAS that are physically within their state boundaries, regardless of whether the corresponding truck parking sites reported on the sign are located within the state boundaries. Each state will exchange the data feed to provide information on the other State’s DPAS.

TxDOT is planning to use several procurement methods to deploy TPAS:

  • For civil elements, TxDOT intends to design and construct TPAS through its conventional design-bid-build process, including field hardware and supporting infrastructure.
  • In order to provide consistency of detection equipment, TxDOT is issuing a separate procurement contract. This contract will procure sensors and supporting back office hardware and/or software from a single vendor that meets the necessary technical requirements to detect trucks in a mixed-use traffic environment, like the entrance and exit ramps present at many TxDOT SRAs.
  • TxDOT is also going to utilize SwRI to provide updates to TxDOT’s existing ATMS to support TPAS. As discussed earlier, TxDOT utilizes SwRI’s ActiveITS software, referred to as “LoneStar” for TxDOT’s TMCs. Some aspects of LoneStar will facilitate the TPAS project, so TxDOT will be receiving updates to the overall software from SwRI as part of this effort.

Work conducted through this I-10 effort will be used by TxDOT to help expand TPAS into other parts of Texas that face similar parking challenges. This is discussed in the Examples of TPIMS Deployments section of the Identifying the Purpose and Need for TPIMS Chapter 2

New Mexico TPAS Program

NMDOT’s is deploying TPAS monitoring equipment at three rest areas and two welcome centers along I-10 (I-10 Corridor Coalition 2022). NMDOT plans to assess real-time parking availability by assessing the real-time entrance counts against the real-time exit counts. NMDOT has selected a contractor to provide the detection technology for ramp counting and to provided available parking space counts at least every 5 minutes. The contractor is responsible for monitoring the available space count accuracy and resetting the number of available spaces to stay within contractual accuracy values. The contractor will also distribute parking availability through an API. NMDOT will use the API to provide parking availability on the NMRoads traveler information website.

NMDOT plans to distribute the real-time truck parking availability data through roadside signing with dynamic matrix panels along I-10. These signs will be owned and maintained by NMDOT. The contractor will post parking availability on dynamic truck parking availability signs. A total of seven DPAS will be placed along I-10 within New Mexico, four in the eastbound direction and three in the westbound direction. Certain eastbound DPAS in the eastern portion of New Mexico will display real-time information for truck parking facilities located in Texas due to proximity, and similarly certain westbound DPAS in the western portion of New Mexico will display real-time information for trucking parking facilities located in Arizona due to proximity. Certain westbound signs in western Texas and eastbound signs in eastern Arizona—installed as part of the TxDOT and ADOT TPAS projects, respectively, both as part of the I-10 Corridor Coalition effort—will display parking availability data for New Mexico facilities.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

NMDOT, ADOT, and TxDOT will be responsible for maintaining the signs that are physically within their state boundaries, regardless of whether the corresponding truck parking site reported on the sign is located within the state boundaries. Each state will exchange the data feed to provide information on the other States’ signs.

NMDOT will roll out TPAS through two procurement methods:

  • For civil elements, NMDOT intends to design and construct TPAS through its traditional design-bid-build process, including field hardware and supporting infrastructure.
  • As part of the contract for the civil elements NMDOT will also procure the contractor to provide detection technology and operate the system.
Arizona TPAS Program

ADOT intends to deploy TPAS monitoring equipment at eight rest areas along I-10 (I-10 Corridor Coalition 2022). The TPAS equipment will be integrated into ADOT’s overall ITS program. ADOT plans to assess real-time parking availability by assessing the real-time utilization of individual truck parking stalls to determine remaining availability. Data from the field will be sent to ADOT for processing. ADOT currently uses an ATMS to operate the traffic management system. This ATMS will be modified to help manage and/or process truck parking availability counts that can be distributed to road users, as well as distribute information to other public data portals (e.g., AZ511 website).

ADOT plans to distribute the real-time truck parking availability data through roadside signing with dynamic matrix panels along I-10. The signs will be owned, operated, and maintained by ADOT. A total of seven DPAS will be placed along I-10 within Arizona, four in the eastbound direction and three in the westbound direction. Certain eastbound DPAS in the eastern portion of Arizona will display real-time information for truck parking facilities located in New Mexico due to proximity, and similarly certain westbound DPAS in the western portion of Arizona will display real-time information for trucking parking facilities located in California due to proximity. Certain westbound signs in western New Mexico and eastbound signs in eastern California—installed as part of the NMDOT and Caltrans TPAS projects, respectively, both as part of the I-10 Corridor Coalition effort—will display parking availability data for Arizona facilities.

ADOT, NMDOT, and Caltrans will be responsible for maintaining the DPAS that are physically within their state boundaries, regardless of whether the corresponding truck parking site reported on the sign is located within the state boundaries. Each state will exchange the data feed to provide information on the other States’ DPAS.

ADOT will roll out TPAS through two procurement methods:

  • For all civil elements, ADOT intends to design and construct TPAS through its traditional design-bid-build process, including field hardware and supporting infrastructure. Projects will be designed and let for construction as part of each ADOT district that has equipment. Construction will be competitively bid.
  • ADOT will update their ATMS to accommodate the TPAS equipment, as part of an ongoing software maintenance contract.
California TPAS Program

Caltrans is deploying TPAS monitoring equipment at six rest areas along I-10 (I-10 Corridor Coalition 2022). The TPAS equipment will be integrated into Caltrans’ overall ITS program. Caltrans will assess real-time parking availability using two methodologies. They will use real-time entrance counts against the real-time exit counts and monitor parking space occupancy. The two methodologies are being used because of the unique configuration of some of their truck parking areas. Data from the field will be sent to Caltrans for processing. Caltrans intends to deploy the SwRI’s ActiveITS product as the ATMS software in its TMC in District 8, where all TPAS sites are located. ActiveITS has a module available to ingest, process, and

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

distribute truck parking-related count information. Caltrans will acquire that ATMS to facilitate operation of its TPAS, as well as distribute information to other public traveler information data portals.

Caltrans will distribute the real-time truck parking availability data through roadside signing with dynamic matrix panels along I-10. These signs will be owned, operated, and maintained by Caltrans. A total of seven signs will be placed along I-10 within California, four in the eastbound direction and three in the westbound directions. Certain eastbound signs in the eastern portion of California will display real-time information for truck parking facilities located in Arizona due to proximity. Similarly, certain westbound signs along I-10 in western Arizona—installed as part of the ADOT TPAS project, as part of the I-10 Corridor Coalition effort—will display parking availability data for California facilities.

Caltrans and ADOT will be responsible for maintaining the signs that are physically within their state boundaries, regardless of whether the corresponding truck parking site reported on the sign is located within the state boundaries. Each state will exchange the data feed to provide information on the other State’s DPAS.

Caltrans will roll out TPAS through two procurement methods:

  • For all civil elements, Caltrans intends to design and construct TPAS through its traditional design-bid-build process, including field hardware and supporting infrastructure. Projects will be designed and let for construction as part of Caltrans District 8, which is the only district that has equipment. Construction will be competitively bid. After deployment of the physical infrastructure, Caltrans will operate a pilot project of detection technology to determine the long-term preferred solution for data collection.
  • Caltrans is also going to utilize SwRI to provide ActiveITS to support TPAS.

State TPIMS Deployments, Pilot Programs, and Planned Programs

This subsection summarizes other State TPIMS deployments, pilot programs, and planned programs, presented in Table 10. Additional narrative for each follows the table.

Table 10. Summary of State TPIMS deployments and example programs.

Program Summary
Maryland Pilot Program (National Coalition on Truck Parking 2018)
  • The Maryland State Highway Administration (MDSHA) and the University of Maryland developed an automated and low-cost real-time truck parking information system.
  • The parking detection system was tested at Maryland SHA’s truck parking facility on northbound I-95 at the North Welcome Center between January and May 2013.
  • The system utilized wireless magnetic in-ground sensors for vehicle detection, ensuring driver and truck anonymity during the detection process.
  • The research team reported an average overall detection error rate of 3.75% for their vehicle detection method (Maryland State Highway Administration 2013).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Pennsylvania Turnpike Commission Deployment (Pennsylvania State Transportation Advisory Committee 2007)
  • The Pennsylvania State Transportation Commission considered using complementary ITS applications to address truck parking issues. The Pennsylvania Turnpike Commission (PTC) took the concept forward and developed a truck parking management system.
  • The system was piloted at six service plazas on the eastern part of the corridor, offering a total of 93 truck parking spots.
  • A ConOps document was prepared in 2018, followed by a public RFP issuance in 2019.
  • The system, deployed in 2021 at 10 service plazas, aims to provide parking availability information through roadside DMS, travel applications, and third-party truck parking information systems (Trucker News 2021).
Indiana Toll Road Concession Company Deployment (Laneline Now 2022)
  • The Indiana Toll Road Concession Company (ITRCC) operates a I-90 and a segment of I-80 in northern Indiana. ITRCC implemented a TPAS rollout as part of their ITS program, covering four travel plazas and two dedicated truck parking lots in each travel direction (12 sites total).
  • Their system utilizes a combination of cameras and sensors to accurately monitor available parking spaces and distribute the data across their network.
  • Roadside signs provide parking information to truckers on the road, while the Truck Specialized Parking Services’ Osprey platform shares data with commercial applications.
  • As of 2022, ITRCC is in a demonstration period and plans to evaluate the system’s impact on parking operations.
Kansas Turnpike Deployment (Kansas Turnpike Authority 2019)
  • The Kansas Turnpike Authority (KTA) created a truck parking management system to provide truck drivers with information about available parking spaces operating independently from the KDOT system.
  • Limited research data is available regarding the design specifics and evaluation outcomes of the KTA’s system.
  • As of 2022, the KTA’s traveler information website displays information about available commercial parking stalls along its facilities (Kansas Turnpike Authority n.d.).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Colorado Deployment (National Coalition on Truck Parking 2018)
  • The Colorado DOT (CDOT) implemented TPIMS using funding from a FASTLANE grant and other CDOT funding sources.
  • CDOT’s TPIMS project aimed to provide real-time parking availability information to drivers on the National Highway Freight Network corridors in Colorado: I-25, I-70, and I-76.
  • The system utilized existing detection technology such as static cameras and sensors, chosen for their cost-efficiency, accuracy, and ruggedness to withstand extreme weather conditions.
  • Data about parking availability was distributed through DMS, websites, mobile applications like the COtrip website, and CDOT’s 511 smartphone app.
  • CDOT employed public-private partnerships for ITS data collection infrastructure installation and engaged stakeholders for policy and planning input.
  • Interoperability with neighboring States’ systems was a priority, and CDOT aimed to establish common software and communication interfaces.
  • The TPIMS project followed a structured technical approach involving stakeholder engagement, specific strategy development, dissemination planning, ITS infrastructure design and construction, strategy monitoring and refinement, and project evaluation (Colorado Department of Transportation 2016).
  • The system was deployed in 2019 (TrucksParkHere.com n.d.).
Nevada Planned Program (Nevada Department of Transportation 2019)
  • Nevada DOT (NDOT) developed the Nevada Truck Parking Implementation Plan in 2019, which aimed to enhance freight truck parking and communications systems.
  • TPAS was suggested to ease truck parking and reduce idling.
  • Implementation plan has two phases. Phase 1 will install TPAS at six priority locations, integrating data and systems. Phase 2 will extend TPAS to all remaining public rest areas on I-15 and I-80.
  • Will be funded in 2023 for $4 million, per the 2022 Nevada Freight Investment Plan update (Nevada Department of Transportation 2022).
  • No specifics on TPAS technology, monitoring, or dissemination methods are provided.
  • The plan addresses urban vs. rural TPAS differences. Urban areas may use apps/web services due to complex options and limited sign feasibility.
  • The State owns few urban truck parking sites and is considering public-private partnerships.
  • Nevada updated its 511 system to offer trucker information on parking facilities, but as of 2022, it provides static information (Transport Topics 2022).
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Illinois Planned (Illinois Department of Transportation 2019) Program
  • The Illinois DOT (IDOT) is planning TPIMS deployment to address truck parking issues.
  • IDOT’s initiative aims to install TPIMS in all 53 rest areas with truck parking on the Interstate system.
  • TPIMS deployment would include information kiosks and video security systems, automated truck parking counting stations, cameras for verification at TMC, and data accessible through websites and trucker mobile apps.
  • IDOT conducted pilot tests with two technologies at one rest area. Insights from the pilots and neighboring MAASTO States’ efforts will shape statewide TPIMS strategy.
  • In April 2022, IDOT announced TPIMS installation at Spoon River and Mackinaw Dells rest areas on I-74 (Illinois Department of Transportation 2022).
North Carolina Planned Program (North Carolina Department of Transportation 2020)
  • NCDOT developed a ConOps document in Feb 2020 for Truck Parking Study Phase II.
  • Long-haul TPAS considered as a corridor solution for improving freight operation and safety along 180 miles of I-95.
  • Eight publicly owned sites were recommended for TPAS deployment, emphasizing space occupancy data collection.
  • Roadside signs were suggested for improved truck parking information.
  • Estimated cost of $1.79 million upfront and $155,000 annually for operations and maintenance.
Texas Planned Program beyond I-10 (Texas Department of Transportation 2020)
  • TxDOT completed Truck Parking Study in 2020. Chapter 9 recommends investing in TPAS to address truck parking challenges.
  • The study revealed that real-time truck parking availability info is a top driver need.
  • TPAS aligns with I-10 Corridor Coalition efforts in Texas.
Washington State Pilot Project (Washington State Department of Transportation 2022)
  • WSDOT Transportation Operations and University of Washington (UW) Smart Transportation Applications & Research (STAR) Lab initiated TPIMS pilot in 2019, which came from a recommendation in the Washington State Freight Plan Update.
  • Focus of the effort is on selected weigh stations and rest areas along I-5 and I-90 and is supported by FMCSA grant funds from August 2021 to September 2025.
  • The goal is to collect parking occupancy data, predict future availability, and share info via website and app.
  • Detection sensors or technology will be installed at locations to monitor parking status.
  • The algorithm developed by UW predicts space availability 10 minutes to 4 hours ahead of time, with around 12% error.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Program Summary
Wyoming Connected Vehicle Pilot Program (Wyoming Department of Transportation n.d.)
  • Wyoming DOT (WYDOT) was chosen by U.S. DOT as one of three locations for a connected vehicle application demo.
  • This pilot will use vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) connectivity to enhance road condition monitoring and reporting, focusing on freight operations.
  • Parking notifications will be included as part of the I2V applications (Zumpf, et al. 2020).
  • WYDOT’s 511 app was updated to share crowdsourced truck parking info with truckers.
  • The app allows truckers to submit parking status updates, and the default availability resets if there are no updates in 2 hours.
  • There are no specific published results on stakeholder acceptance; WYDOT’s Stakeholder Acceptance and User Satisfaction Assessment focused on the CV program (Balke and Simek 2022).
Maryland Pilot Program

MDSHA, with support from the University of Maryland at College Park, developed and tested an automated low-cost and real-time truck parking information system (National Coalition on Truck Parking 2018). The parking detection system was piloted at MDSHA’s truck parking facility on northbound I-95 at the North Welcome Center from January 2013 to May 2013. The research team used wireless magnetic in-ground sensors to detect vehicles parked at the test site. The team noted that an advantage of in-ground sensors, unlike video detection, is that the truck and driver remain completely anonymous in the parking availability detection process. The research team found that its method for vehicle detection had an average overall detection error rate of 3.75 percent (Haghani et al. 2013).

Pennsylvania Turnpike Commission Deployment

The Pennsylvania State Transportation Commission identified using complementary ITS applications to inform on parking availability as a potential strategy for dealing with truck parking as part of its final report (Pennsylvania state Transportation Advisory Committee 2007). The PTC elected to move this concept forward, developing a truck parking management system that would be piloted at six service plazas (93 total truck parking spots) on the eastern part of the corridor. A ConOps document was prepared in 2018 and an RFP was issued publicly in 2019. The system is intended to provide parking availability in the form of roadside dynamic message signs along the turnpike, through other travel applications, and through third-party truck parking information systems (Trucker News 2021).

ITRCC Deployment

ITRCC is a private concessionaire that operates a 157-mile segment of I-90 (and portions of I-80) through northern Indiana. ITRCC recently launched a TPAS rollout in combination with their ITS program, adding TPAS coverage to four travel plazas and two dedicated truck parking lots in each travel direction (12 sites total). Their system uses a mix of cameras and sensors to accurately track the number of available parking spaces while distributing that data across their system. Roadside signing provides the information to truckers that are already on the road, the Truck Specialized Parking Services’ Osprey platform is used to share data to commercial applications (Fisher 2022). ITRCC is currently in a demonstration period and will evaluate the system after some time has passed to determine if this system has improved parking operations

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
Kansas Turnpike Deployment

KTA developed a truck parking management system that informs truck drivers of available spaces (Kansas Turnpike Authority 2019). This system operates separate from the KDOT system, described earlier. While the KTA has done quite a bit to deploy infrastructure, there is limited published research data about the design details or evaluation outcomes. KTA’s traveler information site currently provides commercial parking stalls that are available along its facilities (Kansas Turnpike Authority n.d.).

Colorado Deployment

CDOT implemented TPIMS to communicate real-time parking availability to drivers, with funding through a FASTLANE grant (National Coalition on Truck Parking 2018) and through other CDOT funding mechanisms. With this deployment, CDOT would collect information from public rest areas, private truck stops, and new parking facilities along each of the three National Highway Freight Network corridors that traverse the state, specifically I-25, I-70, and I-76. The detection technology that would be deployed would be existing technology that has been used in MAASTO and other TPIMS efforts, such as static cameras and sensors, and would be selected for its cost-efficiency, accuracy, and ruggedness for locations of extreme weather conditions. Data would be disseminated through DMSs, websites and mobile applications (i.e., the COtrip website), and the CDOT 511 smartphone application. CDOT would utilize public-private partnerships to install ITS data collection infrastructure and would consult with a variety of stakeholders to advise on policy and planning-level activities and strategies. Further, CDOT would engage with neighboring States to ensure Colorado TPIMS has interoperability with other systems and would adopt common software and communication interfaces. CDOT would leverage existing working relationships to build toward a regional TPIMS. CDOT used a technical approach and schedule that encompassed stakeholder participation, parking detection strategies, dissemination strategy, design and construction of the ITS infrastructure, monitoring and refining strategies, and evaluation (Colorado Department of Transportation 2016). The system was reportedly deployed in 2019 (TrucksParkHere.com n.d.).

Nevada Planned Program

NDOT developed their Nevada Truck Parking Implementation Plan in 2019, which identified a plan for expanding, improving, and integrating freight truck parking and truck parking communications systems (Nevada Department of Transportation 2019). Within this implementation plan, NDOT identified TPAS as a technological solution that could make finding truck parking easier and reduce the impacts of idling, which were often the impetus behind community opposition to truck parking facilities. The implementation plan identified a two-phase TPAS deployment among its recommended projects. The first phase would install TPAS at six priority locations (three truck turnouts on I-15, and three locations on I-80), and complete all the necessary data integration and systems engineering work to create a seamless system. The second phase could install TPAS at all remaining public rest areas on I-15 and I-80, which included an additional 15 locations. It is currently slated for 2023 funding in the amount of $4 million, per the 2022 Nevada Freight Investment Plan update (Nevada Department of Transportation 2022). No further details are published about preference regarding how availability will be monitored, what technology will be present, or what dissemination methods will be used.

The Nevada Truck Parking Implementation Plan did discuss urban versus rural TPAS options, noting that a difference exists between the two in terms of the audience that is served. Information dissemination in urban areas may focus more on an application or web service rather than message signs, as the distribution of origins/destinations, parking options, and routes available makes it more difficult to inform drivers of options and conditions via a limited number of signs. Additional challenges existed by virtue of the state owning few urban truck parking sites, suggesting a public-private partnership with a private truck parking facility may be an interim solution.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Nevada recently updated their 511 system to include a trucker information on their state traveler information system (Transport Topics 2022). This system can provide map insights on commercial truck parking facilities along Nevada Interstates, their amenities, and the number of truck parking spaces, but this is static information as of 2022.

Illinois Planned Program

IDOT is planning to deploy TPIMS as part of their initiative to reduce truck parking issues in the State of Illinois (Illinois Department of Transportation 2019). In 2019, IDOT proposed installing TPIMS into all IDOT rest areas on the Interstate system that included truck parking, which equated to a total of 53 IDOT rest area plazas. In addition to various information kiosks and video security systems, this TPIMS deployment would include automated truck parking counting stations, cameras to verify counts back at the TMC, and data provided via websites and trucker mobile applications.

IDOT piloted two technologies at one rest area to help inform on a preferred technology and counting strategy. Insights gained from these pilots, as well as work being undertaken in adjacent MAASTO States, would help inform of a statewide strategy for TPIMS. In April 2022, IDOT published a notice of letting that would install TPIMS at the Spoon River and Mackinaw Dells rest areas along I-74 (Illinois Department of Transportation 2022).

North Carolina Planned Program

NCDOT developed a ConOps document as part of their Truck Parking Study Phase II (North Carolina Department of Transportation 2020). Long-haul TPAS was identified as one of the corridor solutions of how to creatively use existing NCDOT facilities to improve freight operations and safety. Specifically, the ConOps explored potential TPAS deployments along the 180 miles of I-95 corridor in North Carolina, which is predominantly rural but carries a substantial amount of cross-country traffic. Within 2 miles of I-95, there are 24 parking facilities with approximately 1,216 truck parking spaces. Of these, eight facilities and approximately 120 spaces are publicly owned. These locations include three of the top-10 privately owned locations by utilization rate and the second busiest publicly owned facility in the state—the Cumberland County Rest Area.

The ConOps recommended eight publicly owned sites along I-95 that could be part of the deployment, and that a space occupancy method of data collection was the better solution for NCDOT if investing in TPAS. Roadside signing was recommended as well. The total cost was estimated to be approximately $1.79 million, with an annual operations and maintenance cost of $155,000. The ConOps also identified private-sector options, which currently collect and report utilization through the National Association of Truck Stop Operators’ (NATSO) Park My Truck application, which was discontinued in 2023. Utilization data is obtained through visual counts by truck stop employees at multiple times during the day. While useful, the lack of consistent updates and the imprecise nature of visual counts can lead to inaccuracies. The ConOps recommended further exploration of grant opportunities to fund this initiative

Texas Planned Program Beyond I-10

TxDOT completed its Truck Parking Study in 2020 (Texas Department of Transportation 2020). Chapter 9 of that study discusses opportunities to address truck parking challenges through technology and programs, citing specifically in its first strategy recommendation that the state should invest in TPAS. The Texas study revealed that truck drivers indicated that one of their top needs is for accurate, real-time information about the availability of truck parking spaces, ranking only behind “toilets” as amenities desired by stakeholders at public truck parking facilities. TPAS was identified as a means to increase the efficient use of existing truck parking capacity and provide opportunities—such as through advanced analytics—to help predict the future supply of truck parking for drivers and dispatchers to make informed travel plans.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Texas had an advantage with the I-10 Corridor Coalition’s efforts to deploy TPAS, which includes several sites along I-10 within the State of Texas. The development of that program, in which each state is leading their own state-specific program, will establish the groundwork for Texas to build out their system.

Washington State Pilot Project

WSDOT Transportation Operations, in collaboration with the UW STAR Lab, began a TPIMS pilot project in 2019 (Washington State Department of Transportation 2022). This came as a recommendation from the Washington State Freight Plan Update to develop truck parking information systems. The focus of TPIMS is at select weigh stations and rest areas (21 SRAs and seven weigh station locations) along I-5 and I-90, supported by grant funds from the FMCSA from August 2021 through September 2025. The goal of the truck parking pilot project is to develop a TPIMS that collects parking space occupancy data, performs data analytics to project future availability, and disseminates this information to the public through a website and application.

At each location, WSDOT is installing detection sensors or other technology to monitor parking occupancy status. At two truck parking locations (Fort Lewis/Nisqually Weigh Station and Scatter Creek Rest Area), WSDOT installed in-pavement occupancy sensors. Using data collected at the truck parking locations, UW developed an algorithm to project space availability from 10 minutes to 4 hours ahead of time, with approximately 12 percent error

Wyoming Connected Vehicle Pilot Program

I-80 runs for 402 miles along Wyoming’s southern border and carries more than 32 million tons of freight deliveries, but a lack of regional alternative routes and Wyoming’s extreme weather can quickly impact traffic operations. In 2015, the U.S. DOT selected WYDOT as one of three locations to demonstrate connected vehicle applications (Wyoming Department of Transportation n.d.). For this pilot, WYDOT will use V2V, V2I, and I2V connectivity to improve monitoring and reporting of road conditions to vehicles on I-80, with one major focus area being on freight operations.

Parking notifications are one of the I2V applications proposed as part of this pilot (Zumpf, et al. 2020). The WYDOT 511 application for personal devices was updated to capture crowdsourced truck parking information and share it with commercial drivers, as well as provide functionality through the app for truckers to submit a truck parking status update through the application for a given truck parking area. As part of the design, the default parking availability is reset if no information is submitted for 2 hours for the truck parking area. No results are published specifically for stakeholder acceptance of this approach; the WYDOT’s Stakeholder Acceptance and User Satisfaction Assessment focused on an evaluation of the

European Models

In the European Union (EU), many truck parking areas are operated without the use of ITS or telematics services to distribute information (European ITS Platform (EIP) 2015), either as pre-trip travel planning or en route information. One of the cited challenges is that installing detection to monitor availability has a poor return-on-investment, since the parking itself is free in many EU countries. The TruckInform system is one solution that aimed to support EU efforts. When deployed, it operated in 40 countries with more than 2,800 parking spots (Transportation Information Service n.d.). TruckParking Europe pooled parking areas that equated to more than 249,000 spaces and acted as a clearinghouse that used truck operator input to catalogue parking locations. The service also offered a mapping tool that could identify parking areas and available bays, based on the operator’s anticipated truck route. As of 2015, neither of these systems are considered operational (Perry et al. 2015).

Beyond that, limited truck parking management systems have been implemented in the EU. Table 11 provides a list of these sites, current as of 2015 (Perry et al. 2015).

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 11. European TPIMS.

Country Area Number of Sites Detection Technology Communication Technology
Denmark E20 between Odense and Copenhagen 1 parking area Infrared DMS
Germany A5 at Hartheim 5 rest areas Magnetic sensors at entrance / exit DMS, website
Germany A2 at Börde 1 rest area Induction loops in parking spaces DMS
Germany A2 at Krahenberge 1 rest area Video network DMS
Germany A1 at Buddikate 1 rest area Ground radar DMS
Germany A8 near Aichen 1 rest area Magnetic sensors at entrance / exit DMS
Germany A9 between Munich and Nuremburg 21 lots Laser and ground radar at entrance and exit Radio, smartphone, Traffic Message Channel
Germany Port of Hamburg 3 lots Induction loop N/A
Germany Montabur 1 parking area Paid entrance, gate, and laser at exit DMS guide to row (telematics controlled)
Germany A3 near Jura - Complete in 2015 1 parking area Overhead detectors in each bay DMS above each bay with departure time
Italy A22 between Modena and Bolzano N/A Pay station for entry DMS to be installed by 2015
Netherlands Eindhoven A67/E34 1 service area Flush-mount sensors in each stall Parckr software

Private-Sector Systems & Truck Parking Marketplace

There are several TPIMS deployment models that exist among private-sector parking facilities, summarized below. An additional emerging practice in truck parking is the idea of managing newfound truck parking availability that, unlike a highway rest area or private truck stop that has a defined number of parking spaces, may be available on an inconsistent or intermittent basis, but still qualifies as viable truck parking. Some examples of this include stadium complexes (which have parking availability during periods where no event is occurring), smaller “Mom and Pop” lots that might serve a unique parking demographic (such as during overnight hours) a downtown parking lot that is empty during a holiday period when commercial workers are at home), or other urban medium-size lots that see a lot of parking availability during off-periods (such as retail centers. Providing information on when and where these parking spaces are available is another means to provide real-time parking availability.

This concept is analogous to the “Airbnb” business model but applied for truck parking. It would match parking providers with truck drivers through an online marketplace, creating new markets that converts private parking lots into paid truck parking. The landowner may choose to allow truck parking for a fee to earn some revenue from otherwise dormant property. The mobile app thus serves as the mechanism for connecting the landowner with truckers in need of parking near or in urban areas.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

SecurSpace is one vendor that provides this service to the trucking industry. It provides an online map platform for visualizing truck parking lots with availability and allows a reservation to be booked. Additionally, it provides insights on the types of trucks that are permitted for parking, as well as locational features of the lot itself (e.g., fences, lights, gates, 24/7 access, pavement, security, etc.). However, other vendors could easily break into this market (Nevada Department of Transportation and California Department of Transportation 2020). Table 12 summarizes three examples.

Table 12. Summary of private-sector systems examples.

Program Summary
Pilot Flying J Deployment (Pilot Flying J n.d.)
  • Pilot Flying J is a chain of truck stops operating in the U.S. and Canada, offering truckers amenities like parking, fuel, scales, showers, etc.
  • Parking reservation services were provided to truckers earlier but in 2017, real-time parking availability was added via the myPilot app.
  • Pilot Flying J utilizes parking lot sensors (Sensys product) for real-time data collection at 30 truck stops on the I-5 corridor and one in Knoxville (CISION 2017).
  • The app provides total available parking spaces and allows reservations.
  • Pilot Flying J was exploring an expansion of this deployment in 2018 to additional truck stops.
TravelCenters of America (Mid-America Freight Coalition 2015)
  • TravelCenters of America, LLC is a U.S.-based truck stop and travel center company, operating under names like TA/Petro Travel Centers.
  • TA/Petro offers first-come/first-serve parking, Reserve-It Parking, and Preferred Parking. Parking costs range from $13 to $20 per 24-hour period, depending on location and demand.
  • At some locations, preferred parking has secure gates and discounts based on center expenditures, such as fuel.
Truck Parking Marketplace
  • An emerging truck parking practice is truck parking that is available on an inconsistent or intermittent basis, such as stadium complexes, "Mom and Pop" lots, urban lots during off-periods.
  • This concept is similar to the Airbnb or Vrbo models of home-sharing. An online marketplace connects landowners and truck drivers via a mobile app.
  • SecurSpace is a vendor offering this service, with an online map with parking lot availability that allows reservations and provides lot information.
  • Also provides insights on permitted truck types and lot features.

Alternative TPIMS Models

This subsection summarizes example TPIMS concepts in the industry that often involve a fusion of public-sector infrastructure and private-sector services. Table 13 summarizes three examples under this subsection.

Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.

Table 13. Summary of alternative TPIMS models examples.

Program Summary
ParkUnload App Demonstration at Public Rest Area (Parking Pilot n.d.)
  • Texas A&M Transportation Institute, University of Wisconsin, and ParkUnload conducted a study on the viability of a parking app to provide truck drivers with parking availability and location information.
  • In 2022, the team instrumented truck parking spaces along I-80 in Iowa and I-39/90/94 in Wisconsin with Truck Parking Technology.
  • The system utilized Bluetooth and the ParkUnload App for automated truck detection and check-ins, allowing the evaluation of short- and long-term parking at various facilities.
Smart Curbside Loading Zones
NATSO Park My Truck (Nevada Department of Transportation and California Department of Transportation 2020)
  • The Truck Parking Leadership Initiative consists of NATSO, the NATSO Foundation, ATA, and ATRI.
  • They developed Park My Truck mobile app for sharing parking availability.
  • The app displays total spaces and open spaces at member facilities.
  • Requires that truck stop operators provide time-stamped inputs of availability at truck stops manually.
  • This was one of the first crowdsourced mobile apps for truck parking information.
Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Suggested Citation: "2 TPIMS Information Review." National Academies of Sciences, Engineering, and Medicine. 2025. Developing a Guide for Truck Parking Information Management Systems. Washington, DC: The National Academies Press. doi: 10.17226/28758.
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Next Chapter: 3 TPIMS Practices
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