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    Fully Automated and Scalable Road Segment Classification Using Connected Vehicle Data and Deep Learning

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 007::page 04026044-1
    Author:
    Adu-Gyamfi, Kojo
    ,
    Owusu, Gideon
    ,
    Sharma, Anuj
    DOI: 10.1061/JTEPBS.TEENG-9278
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe efficient and scalable road infrastructure mapping is essential for transportation planning, traffic safety, and the implementation of advanced vehicle technologies such as advanced driver-assistance systems and autonomous systems. However, ...
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      Fully Automated and Scalable Road Segment Classification Using Connected Vehicle Data and Deep Learning

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313698
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorAdu-Gyamfi, Kojo
    contributor authorOwusu, Gideon
    contributor authorSharma, Anuj
    date accessioned2026-08-20T20:56:13Z
    date available2026-08-20T20:56:13Z
    date copyright2026/05/12
    date issued2026
    identifier otherJTEPBS.TEENG-9278.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313698
    description abstractAbstractThe efficient and scalable road infrastructure mapping is essential for transportation planning, traffic safety, and the implementation of advanced vehicle technologies such as advanced driver-assistance systems and autonomous systems. However, ...
    publisherAmerican Society of Civil Engineers
    titleFully Automated and Scalable Road Segment Classification Using Connected Vehicle Data and Deep Learning
    typeJournal Article
    journal volume152
    journal issue7
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9278
    journal fristpage04026044-1
    journal lastpage04026044-16
    page16
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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