Scenario construction has received extensive attention in the field of the emergency management of railway traffic. In this paper, based on government documents and regulations, a scenario construction method is used to establish a similarity calculation model based on doc2vec, which solves the problem of quickly finding similar events as well as response strategies by dividing the scenario elements. The railway accidents were used as real-life examples to verify the result of the model. Finally, the historical scenarios are ranked according to the comprehensive similarity, which can effectively provide timely decision support for the related governments to respond the railway emergencies and accidents.


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    Titel :

    Scenario Construction Model of Railway Traffic Accidents Based on Similarity Theory


    Weitere Titelangaben:

    Lecture Notes in Operations res.


    Beteiligte:
    Shang, Xiaopu (Herausgeber:in) / Fu, Xiaowen (Herausgeber:in) / Ma, Yixuan (Herausgeber:in) / Gong, Daqing (Herausgeber:in) / Zhang, Juliang (Herausgeber:in) / Chang, Dan (Autor:in) / Huang, Lei (Autor:in) / Gong, Daqing (Autor:in)

    Kongress:

    International Conference on Logistics, Informatics and Service Sciences ; 2022 ; Beijing, China July 21, 2022 - July 23, 2022


    Erschienen in:

    LISS 2022 ; Kapitel : 7 ; 89-102


    Erscheinungsdatum :

    2023-10-14


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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