In order to clarify the evolution path of sudden traffic accidents under the special state of "construction while opening to traffic" in expressway reconstruction and expansion projects, and improve the scientificity of emergency command and decision-making and the pertinence of disposal measures, this paper first analyzes 12 accident scenarios of 4 typical risk events under the interactive influence of reconstruction and expansion construction operations and traffic operations. After that, the key scenario elements are selected based on the risk matrix, and the scenario representation method is determined by using knowledge element theory for reference. The scenario model of reconstruction and expansion of sudden traffic accidents based on Bayesian network is constructed to realize scenario deduction. Finally, taking the traffic accident of a province reconstruction and expansion project as an example, the accident development path is simulated. The results show that after the reconstruction and expansion of the construction lane is narrowed, the construction traffic organization is unreasonable, and the influence of rainy days is superimposed, the probability of vehicle scraping anti-collision facilities is 86.2%, the probability of local traffic congestion is 72.8%, and the probability of major traffic accidents with casualties and vehicle damage is 63.1%. Its evolution path is basically consistent with the actual development of accidents, and it is clear that on-site control, traffic diversion and remote diversion are the key measures to control the deterioration of accidents.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Accident scenario analysis of expressway reconstruction and expansion project based on Bayesian network


    Beteiligte:
    Kong, Xiangjie (Herausgeber:in) / Falcone, Francisco (Herausgeber:in) / Li, Juan (Autor:in) / Wu, Zhongguang (Autor:in) / Gao, Mingsheng (Autor:in) / Wang, Xiang (Autor:in)

    Kongress:

    3rd International Conference on Internet of Things and Smart City (IoTSC 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 12708


    Erscheinungsdatum :

    14.06.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Accident-preventing intelligent expressway

    WANG MIN / PAN DONGXIAO | Europäisches Patentamt | 2021

    Freier Zugriff


    Expressway car accident warning device

    LI WEIHONG | Europäisches Patentamt | 2015

    Freier Zugriff