Offset optimization algorithm in coordinated control for near saturation arteries intersections

Kexin Gu; Xiufeng Chen; Chengxin Wang; Kai Yang

doi:10.1117/12.3030172

5 June 2024 Offset optimization algorithm in coordinated control for near saturation arteries intersections

Kexin Gu, Xiufeng Chen, Chengxin Wang, Kai Yang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131637N (2024) https://doi.org/10.1117/12.3030172
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

To solve traffic congestion, improve the efficiency of urban arteries, and avoid vehicle queue overflow, this paper considers minimizing vehicle queuing and proposes a coordinated control algorithm for urban arteries in a near saturation state. The shock wave theory is used to describe the operating state of vehicles, describe the motion trajectories of vehicles in four scenarios under near saturation state, and propose a mapping model between offset and maximum queue length. Propose a offset optimization algorithm. The algorithm in this paper was simulated and analyzed using VISSIM software, and the results showed that the average queuing delay and average vehicle delay were reduced by 42.5% and 73.7% respectively.

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

Citation Download Citation

Kexin Gu, Xiufeng Chen, Chengxin Wang, and Kai Yang "Offset optimization algorithm in coordinated control for near saturation arteries intersections", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131637N (5 June 2024); https://doi.org/10.1117/12.3030172

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