With the continuous expansion of urban rail transit operation scale, it presents the characteristics of long operation mileage, complex passenger flow characteristics, and heavy equipment service load, etc., which requires the study of risk generation and evolutionary propagation mechanism in the operation process to guide the active safety control. In this study, Event Evolutionary Graph based Bow-Tie Analysis is proposed. With the help of natural language processing technology to realize the event relationship analysis and automatic extraction, for the text characteristics of urban rail transit field, the sequential relationship to indicate the evolution law of the event, and the bow-tie combination of the cause, effect and control measures of the risk of the path of safety assessment. On the one hand, the assessment is carried out from the evolution path of control measures, and on the other hand, the risk is comprehensively assessed in terms of the possibility of risk occurrence, the possibility of oriented consequences, and the severity of consequences, which provides a reference for the quantification of the safety level. Finally, the application of the method, which is highly operational and can effectively guide the safety management work, is demonstrated by means of a typical scenario of urban rail transit operation in a given location.


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    Title :

    Research on Safety Assessment Methods for Urban Rail Transit Operation


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / Li, Zhengjiang (author) / Fan, Qianqi (author) / Han, Bin (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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