The car-following model is important for understanding the longitudinal behaviors of traffic flow. When it comes to adaptive cruise control (ACC) vehicles, the car-following model with constant time-gap policies is widely applied. However, its string stability is not fine based on real experimental tests conducted by PATH program. Therefore, this paper focused on proposing an ACC car-following model to improve string stability. The string stability of the proposed ACC car-following model was analytically investigated and some numerical simulations were also conducted. The results show the proposed car-following model has fine string stability properties and can mitigate disturbances well, thereby being helpful for improving safety and reducing emissions.


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    Title :

    Modeling Car-Following Behavior for Adaptive Cruise Control Vehicles


    Contributors:
    Qin, Yanyan (author) / Wang, Hao (author)

    Conference:

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


    Published in:

    CICTP 2019 ; 5613-5622


    Publication date :

    2019-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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