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    Explainable Artificial Intelligence Model for Track-Related Rail Accident Severity Analysis of Rail Transports of Hazardous Materials

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 006::page 04026032-1
    Author:
    Li, Xinyu
    ,
    Yin, Xiang
    ,
    Lin, Chen-Yu
    ,
    Zhang, Zhipeng
    ,
    Hu, Hao
    DOI: 10.1061/JTEPBS.TEENG-9520
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe transportation of hazardous materials (hazmat) by rail presents significant safety challenges, particularly the potential for hazmat release accidents. While extensive research has evaluated the probabilities and consequences of hazmat rail ...
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      Explainable Artificial Intelligence Model for Track-Related Rail Accident Severity Analysis of Rail Transports of Hazardous Materials

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313739
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorLi, Xinyu
    contributor authorYin, Xiang
    contributor authorLin, Chen-Yu
    contributor authorZhang, Zhipeng
    contributor authorHu, Hao
    date accessioned2026-08-20T20:57:52Z
    date available2026-08-20T20:57:52Z
    date copyright2026/04/07
    date issued2026
    identifier otherJTEPBS.TEENG-9520.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313739
    description abstractAbstractThe transportation of hazardous materials (hazmat) by rail presents significant safety challenges, particularly the potential for hazmat release accidents. While extensive research has evaluated the probabilities and consequences of hazmat rail ...
    publisherAmerican Society of Civil Engineers
    titleExplainable Artificial Intelligence Model for Track-Related Rail Accident Severity Analysis of Rail Transports of Hazardous Materials
    typeJournal Article
    journal volume152
    journal issue6
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9520
    journal fristpage04026032-1
    journal lastpage04026032-13
    page13
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 006
    contenttypeFulltext
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