This paper proposes a capacity model to address the impact of automated dedicated lanes on the capacity of the signalized intersection. Firstly, the car-following modes in the mixed traffic flow are analyzed, and the influence of the setting of the automated dedicated lanes on the average headway is discussed. Secondly, a new capacity model with automated dedicated lanes is derived based on the classic capacity model. Then, a signalized intersection capacity model considering the automated dedicated lanes is further derived based on the saturation flow rate method. Finally, numerical simulation experiments are designed to discuss the key parameters on the traffic capacity of a signalized intersection. The results show that (i) the automated dedicated lanes are conducive to improving the traffic capacity; (ii) when the penetration rate of CAVs is less than 52%, the traffic capacity of the signalized intersection can be increased by nearly 1.25 times with the automated dedicated lanes. These findings can provide theoretical support for designing and optimizing signalized intersections in high levels (i.e. L3-L5) CAVs environments.


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    Titel :

    A capacity model of signalized intersection with dedicated lanes for automated vehicles


    Weitere Titelangaben:

    Y. JIANG ET AL.
    TRANSPORTATION LETTERS


    Beteiligte:
    Jiang, Yangsheng (Autor:in) / Ma, Yuqin (Autor:in) / Xiao, Guosheng (Autor:in) / Wu, Yunxia (Autor:in) / Ran, Bin (Autor:in) / Yao, Zhihong (Autor:in)

    Erschienen in:

    Transportation Letters ; 16 , 7 ; 725-737


    Erscheinungsdatum :

    08.08.2024


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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