Empirical Analysis and Modeling of Stop-Line Crossing Time and Speed at Signalized Intersections

Keshuang Tang, Fen Wang, Jiarong Yao and Jian Sun
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Keshuang Tang: Department of Transportation Information and Control Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China
Fen Wang: School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
Jiarong Yao: Department of Transportation Information and Control Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China
Jian Sun: Department of Traffic Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China

IJERPH, 2016, vol. 14, issue 1, 1-13

Abstract: In China, a flashing green (FG) indication of 3 s followed by a yellow (Y) indication of 3 s is commonly applied to end the green phase at signalized intersections. Stop-line crossing behavior of drivers during such a phase transition period significantly influences safety performance of signalized intersections. The objective of this study is thus to empirically analyze and model drivers’ stop-line crossing time and speed in response to the specific phase transition period of FG and Y. High-resolution trajectories for 1465 vehicles were collected at three rural high-speed intersections with a speed limit of 80 km/h and two urban intersections with a speed limit of 50 km/h in Shanghai. With the vehicle trajectory data, statistical analyses were performed to look into the general characteristics of stop-line crossing time and speed at the two types of intersections. A multinomial logit model and a multiple linear regression model were then developed to predict the stop-line crossing patterns and speeds respectively. It was found that the percentage of stop-line crossings during the Y interval is remarkably higher and the stop-line crossing time is approximately 0.7 s longer at the urban intersections, as compared with the rural intersections. In addition, approaching speed and distance to the stop-line at the onset of FG as well as area type significantly affect the percentages of stop-line crossings during the FG and Y intervals. Vehicle type and stop-line crossing pattern were found to significantly influence the stop-line crossing speed, in addition to the above factors. The red-light-running seems to occur more frequently at the large intersections with a long cycle length.

Keywords: high-speed intersections; safety; flashing green; stop-line crossing behavior; multinomial logit model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
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