Intelligent traffic signal coordination control method based on YOLOv3 and DQN

Yixiao Xu; Zhao Ni

doi:10.1117/12.2673902

6 April 2023 Intelligent traffic signal coordination control method based on YOLOv3 and DQN

Yixiao Xu, Zhao Ni

Author Affiliations +

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126150X (2023) https://doi.org/10.1117/12.2673902
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

Because the time of traffic signal lights when vehicles are released is the same, it is easy to cause vehicle accumulation, traffic congestion and other problems. Therefore, a coordinated control method of intelligent traffic lights based on YOLOv3 and DQN is proposed. Obtain the basic parameters of intelligent traffic, set the green signal ratio of each phase in a balanced manner, define the reward of coordinated control as the change in cumulative waiting time between two adjacent cycles, set the intersection control domain decision sequence based on YOLOv3 and DQN, calculate the intersection cycle correlation, and design the signal coordination control method. Experimental results: The average queue waiting time of the intelligent traffic signal coordination control method in this paper is 648.37 s, which is 64.22 s and 41.05 s lower than the other two intelligent traffic signal coordination control methods respectively, indicating that the designed intelligent traffic signal coordination control method is better after combining YOLOv3 and DQN algorithms.

Citation Download Citation

Yixiao Xu and Zhao Ni "Intelligent traffic signal coordination control method based on YOLOv3 and DQN", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126150X (6 April 2023); https://doi.org/10.1117/12.2673902

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