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    Assessment of the Long-Term Impacts of Highway–Railway Grade Crossing Countermeasures: A Bayesian Vector Autoregression Modeling Approach

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 001::page 04025116-1
    Author:
    Ghomi, Haniyeh
    ,
    Hussein, Mohamed
    DOI: 10.1061/JTEPBS.TEENG-9018
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper proposes integrated machine learning and time-series models to investigate the long-term impact of a variety of safety countermeasures on the consequence score of train-vehicle collisions at highway–railway grade crossings (HRGCs). To ...
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      Assessment of the Long-Term Impacts of Highway–Railway Grade Crossing Countermeasures: A Bayesian Vector Autoregression Modeling Approach

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313638
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    contributor authorGhomi, Haniyeh
    contributor authorHussein, Mohamed
    date accessioned2026-08-20T20:53:53Z
    date available2026-08-20T20:53:53Z
    date copyright2025/10/29
    date issued2026
    identifier otherJTEPBS.TEENG-9018.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313638
    description abstractAbstractThis paper proposes integrated machine learning and time-series models to investigate the long-term impact of a variety of safety countermeasures on the consequence score of train-vehicle collisions at highway–railway grade crossings (HRGCs). To ...
    publisherAmerican Society of Civil Engineers
    titleAssessment of the Long-Term Impacts of Highway–Railway Grade Crossing Countermeasures: A Bayesian Vector Autoregression Modeling Approach
    typeJournal Article
    journal volume152
    journal issue1
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9018
    journal fristpage04025116-1
    journal lastpage04025116-12
    page12
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 001
    contenttypeFulltext
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