The mixing of multi-mode connected and automated vehicles (CAVs) and multi-type human driving vehicles (HV) will become increasingly common. This study aims to establish a fundamental diagram that can accurately describe the heterogeneous traffic flows with CAVs and HVs. First, the traffic flow fundamental diagram of multi-type HVs is modeled based on the field data, and traffic flow parameters are calibrated; secondly, considering the difference of driving behaviors, the influence of CAVs mixed with HVs on the traffic flow characteristics is analyzed to establish the heterogeneous fundamental diagram; then, the credibility of the proposed fundamental diagram are verified by microscopic traffic simulation; finally, the sensitivity analysis of the penetration rate and driving behavior of CAVs are conducted. The results show the driving behavior of CAVs has a significant impact on traffic flow characteristics, while the increase of CAV penetration rate improves the roadway capacity.


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    Titel :

    Heterogeneous Traffic Flow Fundamental Diagram in Connected and Automated Environment


    Beteiligte:
    Tina, Wenjing (Autor:in) / Zan, Yuyao (Autor:in) / Wang, Xiang (Autor:in) / Ren, Zeqi (Autor:in) / Zhang, Yingxin (Autor:in) / Dong, Caiyin (Autor:in) / Ji, Shengyi (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 389-400


    Erscheinungsdatum :

    08.09.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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