Comparative analysis of drivers' start-up time of the first two vehicles at signalized intersections

Summary The aim of this study is to comparatively analyze drivers' start-up time (SUT) of the first two vehicles at signalized intersections. Three groups of data, the SUT of the first vehicle, the SUT of the second vehicle, and car-following SUT of the second vehicle, were collected through a videography technique. The comparative analysis was then conducted. Pearson's correlation was used to determine the correlation between the three groups. Multiple regression was used to analyze and identify which independent variable or variable combination was the best explanation of the SUT of the second vehicle. The combination patterns of start-up behavior of the first two vehicles were discovered using the fuzzy c-means clustering. The data obtained show that the mean of the car-following SUT of the second vehicle is 1.08 seconds. Four combination patterns of start-up behavior of the first two vehicles, {fast, fast}, {fast, slow}, {slow, fast}, and {slow, slow}, are obtained. The numbers of the first pattern {fast, fast} and the fourth pattern {slow, slow} account for 71.80% and 21.82% of total patterns, respectively. These results suggest that the main factors influencing the SUT of the second vehicle are the type and SUT of the first vehicle. The results seem to indicate that the SUT of the first vehicle plays a crucial role in determining total start-up lost time. The pattern {fast, fast} is the best for decreasing start-up lost time. Copyright © 2015 John Wiley & Sons, Ltd.

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