In a mixed traffic environment featuring connected automated vehicles (CAVs) and human-driven vehicles (HDVs), the reserved lanes for CAVs are regarded as an improvement approach to traffic efficiency, which can reduce the conflicts between CAVs and HDVs. This paper investigates the traffic capacities under different road management strategies to seek a critical condition on which the reserved lanes for CAVs generate positive effects on traffic capacity. The estimation method of road capacity of CAVs reserved lane is proposed based on the Markov chain. Then, three right-of-way allocation strategies are designed, and their traffic efficiency is quantitatively analyzed. The experimental results show that the CAVs reserved lane would positively impact the increase of CAV penetration rate. Besides, the traffic efficiency can be improved by setting a higher speed limit for a CAVs reserved lane and opening lane restrictions for CAVs.


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    Titel :

    Research on the Setting Conditions of CAV’s Reserved Lane in Mixed Traffic


    Beteiligte:
    Sun, Dihua (Autor:in) / Tian, Yudan (Autor:in) / Zhao, Hang (Autor:in) / Jiang, Ting (Autor:in) / Wu, Xiao (Autor:in) / Tang, Yi (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2022 ; 623-634


    Erscheinungsdatum :

    2022-09-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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