This paper proposes a Traj ectory based Traffic Management (TTM) decision maker for connected and automated traffic. The goal is to enable active traffic management on a microscopic level with the help of Connected and Automated Vehicles (CAVs). The proposed decision maker bears the following features: i) enable real-time traffic demand management; ii) ensure control stability; iii) be potential for extension to partially connected and automated traffic. The proposed decision maker is evaluated on a freeway segment. The results demonstrate that the proposed method performs good control stability. It is revealed that the proposed decision maker can stabilize in 2 min.


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    Title :

    Trajectory Based Active Traffic Management by Leveraging Connected and Automated Vehicles


    Contributors:
    Lai, Jintao (author) / Hu, Jia (author) / An, Lianhua (author) / Yang, Xiaoguang (author)


    Publication date :

    2021-10-22


    Size :

    2911226 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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