This paper addresses the characteristics of urban rail transit fires and proposes a predictive model combining evacuation simulation and random forests for rapid forecasting of evacuation targets. Firstly, the characteristics of urban rail transit fires and key factors affecting evacuation are analyzed. Secondly, a three-dimensional model for crowd evacuation simulation is constructed. Finally, a predictive model based on random forests is developed, with an analysis of the importance of predictive variables. The random forest approach can effectively deal with complex nonlinear relationships and large amounts of data, and improve the prediction accuracy and robustness of the model. The results indicate that this method can rapidly predict emergency evacuation scenarios in urban rail transit fires, achieving an accuracy of 95%.


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    Titel :

    Analysis of Fire Characteristics and Emergency Evacuation Influencing Factors in Urban Railway Transportation


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Zhao, Gaofeng (Herausgeber:in) / Satyanaga, Alfrendo (Herausgeber:in) / Ramani, Sujatha Evangelin (Herausgeber:in) / Abdel Raheem, Shehata E. (Herausgeber:in) / Zhang, Zhiming (Autor:in) / Dou, Hui (Autor:in) / Wang, Qingqing (Autor:in) / Wang, Yong (Autor:in) / Yang, Xiangfei (Autor:in) / Yu, Qianwan (Autor:in)

    Kongress:

    International Symposium on Traffic Transportation and Civil Architecture ; 2024 ; Tianjin, China June 21, 2024 - June 23, 2024



    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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