This paper presents a new mixed traffic flow model considering the vehicle size (e.g. small car and truck), human driving style and CV technology, which can describe the car-following (CF) behavior with better generality. In particular, the safety distance formulation in car-following theory is re-built by additionally studying the relationship between human driving style, vehicle size and desired following gap. Then, the new mixed CF model is derived by fusing the re-built safety distance formulation, Helly model and vehicle-to-infrastructure (V2I) communication. Moreover, the stability condition of the proposed model is analyzed by perturbation method. Besides, according to the comparison between real data from radio frequency identification devices (RFID) and the simulated data, the proposed model can better reproduce the evolution process of actual transportation systems. Furthermore, the simulation experiments verify the mixed traffic with multi-size vehicles performance can be improved with the increasing penetration rate of connected vehicles.


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    Titel :

    A Novel Mixed Traffic Flow Model Considering V2I, Vehicle Size and Driving Style Difference


    Beteiligte:
    Sun, Dihua (Autor:in) / Zhang, Chi (Autor:in) / Zhao, Hang (Autor:in) / Zhao, Min (Autor:in)


    Erscheinungsdatum :

    19.09.2021


    Format / Umfang :

    2082084 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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