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Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

Author

Listed:
  • Yingjun Qiao

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, China)

  • Tianchuang Meng

    (School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

  • Hongmao Qin

    (Wuxi Institute of Intelligent Control, Hunan University, Wuxi 214115, China)

  • Ziniu Hu

    (School of Machinery and Transportation Engineering, Hunan University, Changsha 410082, China)

  • Zhihua Zhong

    (Center for Strategic Studies, Chinese Academy of Engineering, Beijing 100088, China)

Abstract

Traffic signal control is critical for traffic efficiency optimization but is usually constrained by traffic detection methods. The emerging V2I (Vehicle to Infrastructure) technology is capable of providing rich information for traffic detection, thus becoming promising for traffic signal control. Based on parallel simulation, this paper presents a new traffic signal optimization method in a V2I environment. In the proposed method, a predictive optimization problem is formulated, and a cellular automata model is employed as traffic flow model. By using genetic algorithm, the predictive optimization problem is solved online to implement receding horizon control. Simulation results show that the proposed method can improve traffic efficiency in the sense of reducing average delay and number of stops. Meanwhile, simulation also shows that greater communication range brings better performance for reducing the average number of stops. Simulation results show that the proposed V2I-based signal control method can improve traffic efficiency, especially when the traffic volume is relatively high. The proposed algorithm can be applied to traffic signal control to improve traffic efficiency.

Suggested Citation

  • Yingjun Qiao & Tianchuang Meng & Hongmao Qin & Ziniu Hu & Zhihua Zhong, 2023. "Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6631-:d:1123098
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    References listed on IDEAS

    as
    1. Amirgholy, Mahyar & Gao, H. Oliver, 2023. "Optimal traffic operation for maximum energy efficiency in signal-free urban networks: A macroscopic analytical approach," Applied Energy, Elsevier, vol. 329(C).
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