Research on identification of congestion points at highway intersections and optimization of congestion alleviation

Yan Wu; Hongxing Yu; Lishan Sun; Weiwei Men; Ruiqi Luo

doi:10.1117/12.3054513

20 December 2024 Research on identification of congestion points at highway intersections and optimization of congestion alleviation

Yan Wu, Hongxing Yu, Lishan Sun, Weiwei Men, Ruiqi Luo

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134213W (2024) https://doi.org/10.1117/12.3054513
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

In recent years, the rapid development of the economy and the rapid increase in the number of social cars have had a direct impact on the efficiency of the road network, resulting in varying degrees of regional traffic congestion, particularly during the morning and evening rush hours. The real-time data of the network is employed to identify the congestion points at the intersection, analyse the causes of congestion, and select the intersection of Baodi Ring Road and Tangtong Line as a case study to alleviate congestion and optimise the objective of improving road capacity. The accurate quantification of realtime traffic condition data, the reduction of research costs, the formation of a system for the transformation and optimisation of intersections, and the provision of a reference for the optimisation of domestic ordinary trunk highway intersections are all benefits of this approach.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Wu, Hongxing Yu, Lishan Sun, Weiwei Men, and Ruiqi Luo "Research on identification of congestion points at highway intersections and optimization of congestion alleviation", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134213W (20 December 2024); https://doi.org/10.1117/12.3054513

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