Cooperative Control Method of Mixed Traffic at Signalized Intersection

Authors

Qiushi Huang, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China; China Automotive Engineering Research Institute Co. Ltd. Chongqing 401122, China
Yanyang Wang, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China; Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Xihua University, Chengdu 610039, China
Changliang Wu, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China; Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Xihua University, Chengdu 610039, China
Junfu Huang, China Automotive Engineering Research Institute Co. Ltd. Chongqing 401122, China
Shenggen Zhang, China Automotive Engineering Research Institute Co. Ltd. Chongqing 401122, China
Haoxuan Luo, China Automotive Engineering Research Institute Co. Ltd. Chongqing 401122, China

Abstract

Abstract: A hierarchical decoupling cooperative control method for signal light mixed traffic platoon is designed with the goal of improving the traffic environment at signalized intersections. In the research of upper layer signal control, a calculation model for vehicle delay time at intersections is selected, with the goal of minimizing the average delay time of vehicles. A genetic algorithm based upper layer control strategy for intersection signal lights is proposed and verified; in the research of lower layer mixed platoon control, a "1+N" form is used to establish a dynamic model of the mixed platoon. A vehicle energy consumption model is selected, with the goal of minimizing platoon economy. A mixed platoon lower layer control strategy based on optimal control is proposed and validated. Based on the verification of upper and lower control strategies, the effectiveness and sensitivity of the cooperative control method are studied. The research results indicate that the cooperative control method proposed can effectively improve the traffic efficiency and vehicle economy of intersections in different traffic scenarios; the shorter the values of minimum green light duration and control zone length, the better the improvement effect of average vehicle delay time and average fuel consumption per 100 kilometers.

Recommended Citation

Huang, Qiushi; Wang, Yanyang; Wu, Changliang; Huang, Junfu; Zhang, Shenggen; and Luo, Haoxuan (2025) "Cooperative Control Method of Mixed Traffic at Signalized Intersection," Journal of System Simulation: Vol. 37: Iss. 1, Article 22.
DOI: 10.16182/j.issn1004731x.joss.23-1035
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss1/22

First Page

271

Last Page

283

CLC

U491.5+4; TP391

Recommended Citation

Huang Qiushi, Wang Yanyang, Wu Changliang, et al. Cooperative Control Method of Mixed Traffic at Signalized Intersection[J]. Journal of System Simulation, 2025, 37(1): 271-283.

Corresponding Author

Wang Yanyang

DOI

10.16182/j.issn1004731x.joss.23-1035