A macroscopic model of mixed traffic flow considering the characteristics of the vicinity of traffic signals from CPS perspective

Zhe Wang (), Xiaoyong Liao, Dihua Sun (), Rongbin Wang () and Xiao Wu ()
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Zhe Wang: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, School of Automation, Chongqing University, Chongqing, Chongqing 400044, P. R. China
Xiaoyong Liao: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, School of Automation, Chongqing University, Chongqing, Chongqing 400044, P. R. China
Dihua Sun: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, School of Automation, Chongqing University, Chongqing, Chongqing 400044, P. R. China
Rongbin Wang: Chongqing Expressway Group Co., Ltd., Chongqing, Chongqing 400044, P. R. China
Xiao Wu: Chongqing Expressway Group Co., Ltd., Chongqing, Chongqing 400044, P. R. China

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 12, 1-15

Abstract: To enhance the efficiency and stability of traffic flow in the vicinity of traffic signals under mixed traffic, a macroscopic model considering the characteristics of the vicinity of traffic signals is proposed from the perspective of cyber-physical systems (CPS). In this model, the effects of traffic lights and vehicle lane changing behavior are analyzed. Among them, the remaining time of the signal light, the distance between the vehicle and the signal light, and the urgency of lane change are considered to build a macro model. Finally, the simulation results show that compared with the traditional macroscopic model, the proposed model can improve the stability of traffic flow in the vicinity of traffic signals and effectively alleviate traffic congestion.

Keywords: Traffic flow; in the vicinity of traffic signals; cyber-physical system; stability analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124501547

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