title: Empirical Analysis and Modeling of Stop-Line Crossing Time and Speed at Signalized Intersections.
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.
authors.affiliation: Department of Transportation Information and Control Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China. tang@tongji.edu.cn.
authors.forename: Keshuang
authors.initials: K
authors.lastname: Tang
authors.affiliation: School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China. wangf_2016@163.com.
authors.forename: Fen
authors.initials: F
authors.lastname: Wang
authors.affiliation: Department of Transportation Information and Control Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China. JoanYao@tongji.edu.cn.
authors.forename: Jiarong
authors.initials: J
authors.lastname: Yao
authors.affiliation: Department of Traffic Engineering, College of Transportation Engineering, Tongji University, Shanghai 201804, China. sunjian@tongji.edu.cn.|Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing 210096, China. sunjian@tongji.edu.cn.
authors.forename: Jian
authors.initials: J
authors.lastname: Sun
mesh_terms: D001334:Automobile Driving / Q000706:statistics & numerical data*; D002681:China; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D012449:Safety
keywords: flashing green; high-speed intersections; multinomial logit model; safety; stop-line crossing behavior