We propose a queue length estimation method based on vehicle trajectories based on the motion state of queue vehicles. First, traffic states of vehicles arriving at the intersection are divided into arrival state, jam traffic state and departure state. Then we analyzed formation and discharge processes of the queue based on trajectory information of queued vehicles and shockwave theory. Considering changes of vehicle time headway and space headway in different traffic states, queue wave velocity, discharge wave velocity and departure wave velocity were deduced. Based on three different wave velocities, the maximum queue length estimation models of the normal and over saturation traffic state were established. An intersection in Zhengzhou city was taken as case study. The maximum queue lengths at the intersection in morning peak period, evening peak period and flat peak period were estimated respectively and compared. Sensitivity analysis of the space headway of arriving vehicles was also made.


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    Titel :

    Queue Length Estimation at Signalized Intersections Based on Vehicle Trajectories


    Beteiligte:
    Xiang, Daoquan (Autor:in) / Xu, Mingtao (Autor:in) / Yan, Yadan (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2022 ; 2742-2751


    Erscheinungsdatum :

    08.09.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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