For the purpose of alleviating highway traffic congestion caused by truck flows, in this paper, based on the highway networking toll data with high coverage and accuracy, vehicle trajectories are constructed, traffic volume is tallied for congestion identification, and then a truck flow traceability analysis method is proposed. The results of the research show that there are different degrees of congestion in the seven freight corridors of the highway network in Shandong Province, and the main sources and destinations of truck flows on the congested sections are located in cities such as Jinan, Zibo and Weifang, as well as some regions outside Shandong Province, indicating that freight transport between major cities in Shandong Province and cross-provincial freight transport are the causes of highway congestion. The study also reveals the departure time distribution pattern of truck flows on congested sections, which can provide a reference for adjusting the highway truck passage time to reduce the impact of truck flow on highway traffic.


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    Titel :

    Traceability analysis of truck flows on highway congested sections


    Beteiligte:
    Cheng, Sijie (Autor:in) / Wang, Lei (Autor:in) / Wang, Jiangfeng (Autor:in) / Peng, Ziwei (Autor:in)

    Kongress:

    International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022) ; 2022 ; Lanzhou,China


    Erschienen in:

    Proc. SPIE ; 12340


    Erscheinungsdatum :

    21.11.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Empirical Features of Congested Patterns at Highway Bottlenecks

    Kerner, Boris S. | Transportation Research Record | 2002


    Empirical Features of Congested Patterns at Highway Bottlenecks

    Kerner, B. S. / Transportation Research Board | British Library Conference Proceedings | 2002