@inproceedings{26462b5a7f9044749fe8e9beed33dccb,
title = "Intersection Collision Risk Quantification Research: Under Obtained the Traffic Participants' Motion State",
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.",
author = "Pingping Wu and Guangquan Lu and Haitian Tan and Jinghua Wang",
note = "Publisher Copyright: {\textcopyright} ASCE.; 22nd COTA International Conference of Transportation Professionals, CICTP 2022 ; Conference date: 08-07-2022 Through 11-07-2022",
year = "2022",
doi = "10.1061/9780784484265.166",
language = "英语",
series = "CICTP 2022: Intelligent, Green, and Connected Transportation - Proceedings of the 22nd COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "1767--1776",
editor = "Shanjiang Zhu and Junfeng Jiao and Hongqi Tian and Guangjun Gao and Xiaokun Wang and Yinggui Zhang and Pu Wang and Helai Huang",
booktitle = "CICTP 2022",
address = "美国",
}