This study investigates the classic safety-distance rationale based on car-following behavior, which is a modified model that incorporates a quantitative measure of the continuous deceleration process of a vehicle’s braking, and the relative speed between the leading and following vehicles. Considering that the acceleration of vehicles is a function of both safety distance and relative speed, an extended stimulus-response car-following model based on safety distance is developed. The parameters of the proposed car-following model are calibrated and the parameters of the extended model are tuned using NGSIM data. A comparative case study and traffic flow simulation is carried out on the proposed model. Results show that the control algorithm can effectively regulate the car-following behavior, where traffic flow consisting of multiple vehicles exhibits higher stability and vehicle throughput increases.


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    Titel :

    An Extended Stimulus-Response Car-Following Model Based on Safety Distance


    Beteiligte:
    Zhang, Jun (Autor:in) / Zheng, Nan (Autor:in) / Huang, Chongxuan (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2019 ; 4504-4516


    Erscheinungsdatum :

    02.07.2019




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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