YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part A: Systems
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part A: Systems
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Traffic Conflict Identification and Risk Assessment at Ramp Merging Areas Based on Improved XGBoost and SHAP

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 011::page 04025091-1
    Author:
    Tian, Yuan
    ,
    Zhang, Zihao
    ,
    Li, Zhouyuan
    ,
    Fu, Xueqing
    ,
    Wang, Guangmao
    ,
    Ma, Yuan
    ,
    Wu, Jianqing
    DOI: 10.1061/JTEPBS.TEENG-8918
    Publisher: American Society of Civil Engineers
    Abstract: AbstractRamp merging areas are high-risk zones for traffic accidents due to the high traffic density and frequent changes in vehicle speed. This study proposes a comprehensive approach that integrates machine learning with feature interpretation to ...Practical ApplicationsRamp merging areas, where vehicles enter or exit highways, are known to be high-risk zones for accidents due to heavy traffic and frequent speed fluctuations. This study offers a new method for assessing the risk of traffic conflicts ...
    • Download: (1.816Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Traffic Conflict Identification and Risk Assessment at Ramp Merging Areas Based on Improved XGBoost and SHAP

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313619
    Collections
    • Journal of Transportation Engineering, Part A: Systems

    Show full item record

    contributor authorTian, Yuan
    contributor authorZhang, Zihao
    contributor authorLi, Zhouyuan
    contributor authorFu, Xueqing
    contributor authorWang, Guangmao
    contributor authorMa, Yuan
    contributor authorWu, Jianqing
    date accessioned2026-08-20T20:53:13Z
    date available2026-08-20T20:53:13Z
    date copyright2025/09/09
    date issued2025
    identifier otherJTEPBS.TEENG-8918.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313619
    description abstractAbstractRamp merging areas are high-risk zones for traffic accidents due to the high traffic density and frequent changes in vehicle speed. This study proposes a comprehensive approach that integrates machine learning with feature interpretation to ...Practical ApplicationsRamp merging areas, where vehicles enter or exit highways, are known to be high-risk zones for accidents due to heavy traffic and frequent speed fluctuations. This study offers a new method for assessing the risk of traffic conflicts ...
    publisherAmerican Society of Civil Engineers
    titleTraffic Conflict Identification and Risk Assessment at Ramp Merging Areas Based on Improved XGBoost and SHAP
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8918
    journal fristpage04025091-1
    journal lastpage04025091-11
    page11
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian