Chapter
Sep 8, 2022

Intersection Collision Risk Quantification Research: Under Obtained the Traffic Participants’ Motion State

Publication: CICTP 2022

ABSTRACT

To improve the operational safety level of intersections, a method to quantify the collision risk at intersections is proposed, under the condition that traffic participants are fully aware of the movement status. Based on the concept of Post-Encroachment Time (PET), a function that can quantify the risk value at each point in the intersection is established. Considering the actual vehicle shape, the intersection risk quantification method with different time dimensions is proposed, including a real-time monitoring method of intersection collision risk and intersection risk diagnosis method. Finally, an intersection case analysis is carried out. Results show that the real-time monitoring method of intersection risks can dynamically quantify the collision risk at the intersection according to the actual movement of vehicles and provide suggestions for vehicle driving strategies. The intersection risk diagnosis method can provide a theoretical basis for signal optimization and intersection channelization design.

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Go to CICTP 2022
CICTP 2022
Pages: 1767 - 1776

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Published online: Sep 8, 2022

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Pingping Wu
1Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing, PR China
Guangquan Lu [email protected]
2Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing, PR China; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang Univ., Beijing, PR China. Email: [email protected]
Haitian Tan
3Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing, PR China
Jinghua Wang
4Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing, PR China

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