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

    Adaptive Passenger Flow Prediction in Metro Systems: An Incremental Learning Framework for Evolving Patterns

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 008::page 04025058-1
    Author:
    Wu, Fei
    ,
    Zheng, Changjiang
    ,
    Du, Muqing
    ,
    Ma, Genghua
    ,
    Wu, Zhilong
    DOI: 10.1061/JTEPBS.TEENG-8964
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIntelligent transportation management in metro systems requires accurate and real-time predictions of passenger flow demand. However, current research has mainly focused on static metro systems, overlooking the system’s long-term continuous ...Practical ApplicationsThis research introduces IMGSN, an innovative prediction system designed for metro operators to better manage passenger flow. The system offers two key practical benefits: First, it automatically updates its predictions as the metro ...
    • Download: (4.451Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Adaptive Passenger Flow Prediction in Metro Systems: An Incremental Learning Framework for Evolving Patterns

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313624
    Collections
    • Journal of Transportation Engineering, Part A: Systems

    Show full item record

    contributor authorWu, Fei
    contributor authorZheng, Changjiang
    contributor authorDu, Muqing
    contributor authorMa, Genghua
    contributor authorWu, Zhilong
    date accessioned2026-08-20T20:53:26Z
    date available2026-08-20T20:53:26Z
    date copyright2025/06/03
    date issued2025
    identifier otherJTEPBS.TEENG-8964.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313624
    description abstractAbstractIntelligent transportation management in metro systems requires accurate and real-time predictions of passenger flow demand. However, current research has mainly focused on static metro systems, overlooking the system’s long-term continuous ...Practical ApplicationsThis research introduces IMGSN, an innovative prediction system designed for metro operators to better manage passenger flow. The system offers two key practical benefits: First, it automatically updates its predictions as the metro ...
    publisherAmerican Society of Civil Engineers
    titleAdaptive Passenger Flow Prediction in Metro Systems: An Incremental Learning Framework for Evolving Patterns
    typeJournal Article
    journal volume151
    journal issue8
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8964
    journal fristpage04025058-1
    journal lastpage04025058-19
    page19
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;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