For the monitoring of highway network operation under the influence of large-scale emergencies, based on the historical traffic flow data, using time series and other models to predict the traffic flow that is not affected by large-scale emergencies, combined with the same spatial and temporal scales of the affected flow data, to conduct a comparative analysis, and put forward the flow judgement model based on the attenuation factor. Finally, the data of expressway passenger train operation in Guangdong Province is taken as the research object to verify. The experiment proves that the model has a good effect, which can provide support for the traffic prediction of expressway management departments in the case of large-scale emergencies, and support them to make scientific decisions in high-speed management business.


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    Titel :

    Research on the Analysis Method of Highway Traffic Impact Under Large-Scale Emergencies with Passenger Cars as an Example


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    A Rashid, Ahmad Safuan Bin (Herausgeber:in) / Şahin, Sümer (Herausgeber:in) / Makhmudov, Kh. F. (Herausgeber:in) / Ismail, Mohamed A. (Herausgeber:in) / Zhang, Hongchun (Autor:in) / Zhou, Zheng (Autor:in) / Shen, Mengru (Autor:in)

    Kongress:

    International Conference on Applied Mechanics and Engineering Structures ; 2024 ; Zhuhai, China May 17, 2024 - May 19, 2024



    Erscheinungsdatum :

    23.07.2024


    Format / Umfang :

    5 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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