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Int. J. Environ. Res. Public Health 2017, 14(1), 9; doi:10.3390/ijerph14010009

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

1
Department of Transportation Information and Control Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China
2
School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
3
Department of Traffic Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China
4
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Academic Editor: Suren Chen
Received: 25 August 2016 / Revised: 10 November 2016 / Accepted: 7 December 2016 / Published: 23 December 2016
(This article belongs to the Special Issue Traffic Safety and Injury Prevention)
View Full-Text   |   Download PDF [2503 KB, uploaded 23 December 2016]   |  

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. View Full-Text
Keywords: high-speed intersections; safety; flashing green; stop-line crossing behavior; multinomial logit model high-speed intersections; safety; flashing green; stop-line crossing behavior; multinomial logit model
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Tang, K.; Wang, F.; Yao, J.; Sun, J. Empirical Analysis and Modeling of Stop-Line Crossing Time and Speed at Signalized Intersections. Int. J. Environ. Res. Public Health 2017, 14, 9.

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