Research on regional coordination control of urban road traffic based on improved particle swarm optimization algorithm

Ling Wen; Baotian Dong; Pengcheng Li

doi:10.1117/12.2629165

7 March 2022 Research on regional coordination control of urban road traffic based on improved particle swarm optimization algorithm

Ling Wen, Baotian Dong, Pengcheng Li

Author Affiliations +

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121673C (2022) https://doi.org/10.1117/12.2629165
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

In order to alleviate the pressure of urban road traffic, the coordinated control strategy of regional traffic signals is studied. Taking the maximum capacity of the traffic control sub-area as the optimization objective, the regional signal coordinated control model is constructed, and the particle swarm optimization algorithm is used to solve the problem. The performance of the particle swarm algorithm is improved by adding interference items, decreasing inertia weight and adjusting learning factors. The above model and algorithm are verified by the traffic flow data of the actual road network. The experimental results show that the improved particle swarm algorithm has faster convergence speed and higher solution accuracy, and the proposed signal control model can effectively improve the overall traffic capacity of the region.

Citation Download Citation

Ling Wen, Baotian Dong, and Pengcheng Li "Research on regional coordination control of urban road traffic based on improved particle swarm optimization algorithm", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121673C (7 March 2022); https://doi.org/10.1117/12.2629165

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