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

    Ontology-Enhanced STPA Method of Scenario Safety Constraint Identification for Autonomous Driving

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010::page 04025081-1
    Author:
    Zhao, Mingyang
    ,
    Liang, Ci
    ,
    Ci, Yusheng
    DOI: 10.1061/JTEPBS.TEENG-8965
    Publisher: American Society of Civil Engineers
    Abstract: AbstractHazards from complex operational scenarios bring huge challenges for autonomous driving. This study proposes the External Operational Scenario-Systems Theoretic Process Analysis (EOS-STPA) approach, which extends the scope of traditional Systems ...
    • Download: (1.193Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Ontology-Enhanced STPA Method of Scenario Safety Constraint Identification for Autonomous Driving

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313625
    Collections
    • Journal of Transportation Engineering, Part A: Systems

    Show full item record

    contributor authorZhao, Mingyang
    contributor authorLiang, Ci
    contributor authorCi, Yusheng
    date accessioned2026-08-20T20:53:27Z
    date available2026-08-20T20:53:27Z
    date copyright2025/08/11
    date issued2025
    identifier otherJTEPBS.TEENG-8965.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313625
    description abstractAbstractHazards from complex operational scenarios bring huge challenges for autonomous driving. This study proposes the External Operational Scenario-Systems Theoretic Process Analysis (EOS-STPA) approach, which extends the scope of traditional Systems ...
    publisherAmerican Society of Civil Engineers
    titleOntology-Enhanced STPA Method of Scenario Safety Constraint Identification for Autonomous Driving
    typeJournal Article
    journal volume151
    journal issue10
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8965
    journal fristpage04025081-1
    journal lastpage04025081-12
    page12
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010
    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