We propose to incorporate the effects of front and rear multivehicle motion states on the following behavior with the help of intelligent vehicle infrastructure cooperative systems, based on the full velocity difference model (FVD), modified full velocity difference model (MFVD). This will enhance the stability performance of traffic flow. We conclude that the neutral stability condition of the MFVD model is more stable than that of the FVD model. The simulation results show that the amplification of front traffic situation and backward-looking can enhance the stability performance of traffic flow and reduce the production of traffic congestion.


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    Titel :

    Modified Car-Following Models in the Intelligent Vehicle Infrastructure Cooperative Environment


    Beteiligte:
    Gao, Shutao (Autor:in) / Yan, Jianhua (Autor:in) / Li, Zhilin (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 5746-5756


    Erscheinungsdatum :

    02.07.2019




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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