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    Traffic Congestion Signal Inference Based on Trajectory Correlation: A Trajectory Similarity-Based Graph Convolutional Network

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010::page 04025078-1
    Author:
    Gu, Xiaoning
    ,
    Chen, Chao
    ,
    Feng, Rui
    ,
    Shao, Mengru
    ,
    Yao, Baozhen
    DOI: 10.1061/JTEPBS.TEENG-9071
    Publisher: American Society of Civil Engineers
    Abstract: AbstractUrban traffic flow often exhibits significant dynamic spatiotemporal correlations, leading to uncertain and complex traffic states. Accurately forecasting congestion propagation, which reflects the network dynamics of the congestion scenarios, is ...
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      Traffic Congestion Signal Inference Based on Trajectory Correlation: A Trajectory Similarity-Based Graph Convolutional Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313653
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorGu, Xiaoning
    contributor authorChen, Chao
    contributor authorFeng, Rui
    contributor authorShao, Mengru
    contributor authorYao, Baozhen
    date accessioned2026-08-20T20:54:28Z
    date available2026-08-20T20:54:28Z
    date copyright2025/08/08
    date issued2025
    identifier otherJTEPBS.TEENG-9071.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313653
    description abstractAbstractUrban traffic flow often exhibits significant dynamic spatiotemporal correlations, leading to uncertain and complex traffic states. Accurately forecasting congestion propagation, which reflects the network dynamics of the congestion scenarios, is ...
    publisherAmerican Society of Civil Engineers
    titleTraffic Congestion Signal Inference Based on Trajectory Correlation: A Trajectory Similarity-Based Graph Convolutional Network
    typeJournal Article
    journal volume151
    journal issue10
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9071
    journal fristpage04025078-1
    journal lastpage04025078-15
    page15
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010
    contenttypeFulltext
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