Optimization method for urban intersection and empirical research from the perspective of safety

Yun Liu; Luping Wang; Peisen Liu; Kaiyang Liu; Huan Cao; Zhi Cheng Zhang

doi:10.1117/12.2613952

10 November 2021 Optimization method for urban intersection and empirical research from the perspective of safety

Yun Liu, Luping Wang, Peisen Liu, Kaiyang Liu, Huan Cao, Zhi Cheng Zhang

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205023 (2021) https://doi.org/10.1117/12.2613952
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

Reasonable organization and optimization of intersection safety operation is the key to solving the problem of urban traffic congestion and improving urban traffic safety. Firstly, by summarizing a variety of optimization measures and methods of intersections, this paper put forward the optimization idea of adding "safety" elements. Secondly, taking the intersection of Tianhua South Road and Liuzhou East Road in Nanjing as an example, based on the actual traffic survey data, two optimization schemes were designed by using this method. Finally, through the VISSIM traffic simulation software, the optimization scheme was simulated, analyzed, evaluated and compared, the applicability of the scheme was verified, and the best optimization scheme was selected, which has effectively improved the traffic problems of the intersection of South Tianhua road and East Liuzhou Road.

Citation Download Citation

Yun Liu, Luping Wang, Peisen Liu, Kaiyang Liu, Huan Cao, and Zhi Cheng Zhang "Optimization method for urban intersection and empirical research from the perspective of safety", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205023 (10 November 2021); https://doi.org/10.1117/12.2613952

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