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

    VARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008::page 04026054-1
    Author:
    An, Bocheng
    ,
    Cui, Chuang
    ,
    Gan, Rui
    ,
    Qu, Xu
    ,
    Ran, Bin
    DOI: 10.1061/JTEPBS.TEENG-9539
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPredicting the trajectories of surrounding vehicles is crucial for autonomous driving systems. In recent years, mainstream methods have used fixed-length input sequences, relying on historical trajectories of a fixed duration to predict future ...
    • Download: (1.161Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      VARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313747
    Collections
    • Journal of Transportation Engineering, Part A: Systems

    Show full item record

    contributor authorAn, Bocheng
    contributor authorCui, Chuang
    contributor authorGan, Rui
    contributor authorQu, Xu
    contributor authorRan, Bin
    date accessioned2026-08-20T20:58:11Z
    date available2026-08-20T20:58:11Z
    date copyright2026/05/30
    date issued2026
    identifier otherJTEPBS.TEENG-9539.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313747
    description abstractAbstractPredicting the trajectories of surrounding vehicles is crucial for autonomous driving systems. In recent years, mainstream methods have used fixed-length input sequences, relying on historical trajectories of a fixed duration to predict future ...
    publisherAmerican Society of Civil Engineers
    titleVARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences
    typeJournal Article
    journal volume152
    journal issue8
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9539
    journal fristpage04026054-1
    journal lastpage04026054-9
    page9
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008
    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