Connected vehicle technology holds great promises for next generation of traffic signal control. This paper proposes a novel mixed-integer linear programming (MILP) model to optimally coordinate traffic signals at the network level under connected vehicles environment. We leveraged the combinatorial Benders decomposition method to solve this large-scaled MILP model more efficiently than the SCIP solver. Numerical experiments show that our approach can significantly improve network traffic operations compared to a benchmark signal plan in terms of vehicle delay, travel time and throughput.


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    Title :

    Network-wide Traffic Signal Optimization under Connected Vehicles Environment


    Contributors:
    Hu, Liang (author) / Wang, Lanjun (author) / Zhou, Zirui (author) / Sheng, Zhenli (author) / Zhang, Yong (author)


    Publication date :

    2021-09-19


    Size :

    533753 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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