In most situations, it should be clear to the analyst whether a section of highway with two directional lanes should be analyzed with the multilane highway analysis methodology or two-lane highway passing lane segment analysis methodology. However, the HCM does not provide explicit guidance on this issue. This section provides such guidance for selecting the appropriate analysis methodology as well as situations in which both analysis methodologies may provide similar LOS results.
A two-lane highway passing segment, referred to hereafter as a passing lane segment, is typically a short length (3 miles or less) of roadway with two directional lanes that is preceded and succeeded by relatively longer stretches of two-lane highway (1-lane per direction). Two-lane highway passing lane segments are intended to break up platoons of vehicles that have formed upstream due to extended stretches of two-lane highway with limited or no passing opportunities. Operations within the passing lane segment are typically marked by many lane changes at or near the beginning of the passing lane segment--slower or faster vehicles moving to the added lane, depending on signage--and many lane changes at or near the end of the passing lane segment due to the lane drop.
The two-lane highway passing lane segment analysis methodology is not intended for application to stretches of two-lane roadway (one direction) in the following situations/configurations:
To understand why it is important to apply the appropriate analysis methodology, a brief review of the key analysis components is first provided. Figure B-1 shows speed-flow curves for a multilane highway segment. Figure B-2 shows an example speed-flow curve for a passing lane segment. There is a general similarity in the shape of the curves between the two segment types, as should be expected due to the multilane configuration of both segment types.
Note: Upper curve (blue) is for vertical class 1, 5% HV, lower curve (orange) is for vertical class 5, HV% = 15%; BFFS = 55 mph, segment length = 1.5 mi
It should be noted that the flow rate units for the multilane highway speed-flow plot are pc/h, whereas the flow rate units for the passing lane segment are veh/h. The two-lane highway analysis methodology does not utilize the passenger car equivalence (PCE) concept. Increasing truck percentage in the traffic stream does not change the shape of the multilane highway speed-flow curve, rather, it just increases the analysis flow rate along the same curve (further to the right along the x axis). Because of limited passing opportunities along two-lane highways, heavy vehicles in the traffic stream can result in very significant speed reductions for the entire traffic stream, especially on upgrades. Thus, it is necessary to be able to change the shape of the speed-flow curve, such as shown with the lower curve in Figure B-2. With this approach, the percentage of heavy vehicles is used directly, rather than indirectly through the PCE concept. For more information about this topic, see Washburn et al. (2018). Additionally, the multilane highway performance measure results are 'segment-wide', whereas passing lane segment results apply to the midpoint of the segment.
Other significant differences in the analysis methodology are with respect to segment length and grade, as follows:
To provide for a comparison of LOS analysis differences between multilane highway and passing lane segments, the respective analysis methodologies were run for wide range of traffic and geometric inputs. The variables and their settings used in the experimental design for the analysis scenarios are shown in Table B-1 and Table B-2.
Table B-1. Geometric Characteristics Experimental Design Settings
| Variables | Values |
|---|---|
| Number of Directional Lanes | 2 |
| Roadway Length (mi) | 0.5, 1.5, 2.5 |
| Roadway Grade (%) | 0, 2, 4, 6, 8 |
Table B-2. Traffic Characteristics Experimental Design Settings
| Variables | Values |
|---|---|
| Free-Flow Speed (mph) | 55, 65 |
| Flow Rate (veh/h) | 300, 600, 900, 1200, 1500, 1800 |
| Heavy Vehicle Percentage (%) | 0, 5, 10, 15 |
Notes:
Of the listed variables, the roadway grade and FFS are only used in the multilane highway analysis calculations. While the equivalent vertical alignment classification and posted speed, respectively, are used in the two-lane passing lane analysis calculations.
Because of the differences in the analysis methodologies, the following steps were taken to create as comparable inputs as possible between the two segment types.
The LOS for both the multilane highway and two-lane passing lane results were converted into a numeric value in the range of 0 to 5 for comparison purposes. The conversion factors for both the multilane highway and two-lane passing lane are shown in Figure B-3.
Each numeric value corresponds to a LOS letter/grade, 0 = A, 1 = B, 2 = C, 3 = D, 4 = E, 5 = F.
The graphs representing the LOS comparison between the multilane and two-lane highway analysis use the average of the 0%, 5%, 10% and 15% heavy vehicle percentage. Taking the average of the heavy vehicle percentage, for each respective length and grade, allowed the graphs to be more legible. Since there is little variance between the LOS across the different heavy vehicle percentages, utilizing the averages did not impact the overall results.
Multilane vs Two-lane Speed-Flow Curves are shown in the following figures.
The results between the 55 mph and 65 mph FFS showed consistent trends. Only the plots from the 55 mph FFS are included since the difference in LOS between the multilane highway and two-lane passing lane is larger at this speed. This difference shows the importance of using the correct methodology when calculating a multilane highway or two-lane passing lane.
Based on these results, the following conclusions and guidance is provided:
For the following conditions, the same LOS results can be expected from both the multilane highway and passing segment analysis methodologies. Note that these conditions are specific to resulting LOS values, not necessarily any specific performance measure results, such as average speed.
For other conditions, it is important to choose the appropriate analysis methodology.