Develop a model to analyse the roadside factors that affect the speed of vehicles on open-access highways
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Keywords:
Speed, Roadside Factors, Regression ModelAbstract
This study analysed the impact of roadside features and roadway characteristics on the travel
speed of multilane highways. Video photography collected data on traffic count and roadside factors from
ten sections. The study used the floating vehicle technique to gather data on speed, pedestrian road
crossing, and side walking simultaneously. A regression analysis was performed to examine the
correlation between speed and factors related to the roadside. The study found that pedestrian road
crossing was the most crucial speed-influencing element on open-access multilane highways, followed by
road built-up area and pedestrian side walking, through a multilinear regression analysis. The developed
models were validated using predicted and observed speeds. Proper pedestrian crossings, standing
facilities, and parking can mitigate the impact of these factors on travel speed. However, the study
determined that limiting pedestrian crossing and side walking and preventing built-up areas across the
road would increase the efficiency of open-access multilane highways.
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References
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