This paper aims to make an analysis of traffic congestion by truck GPS data from Gaodong toll station in Shanghai, China. Firstly, the GPS data is processed and matched to the selected study zone. Thereafter, the finite mixture model (FMM) is applied to fit the speed distribution and establish a congestion evaluation index. Finally, the working status of the tolling station can be described. From the results of the statistics, it can be concluded that the influence distance of the charging behavior is a constant related to the design of the tolling station. The truck trip characteristics do not coincide with that of commuting trips in this area, and the two forms of the traffic will affect each other.


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    Titel :

    Congestion Analysis of the Toll Station Based on GPS Data


    Beteiligte:
    Wang, Jing (Autor:in) / Weng, Jinxian (Autor:in) / Wang, Xiaomeng (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2022 ; 1608-1617


    Erscheinungsdatum :

    08.09.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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