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    MFMA–Informer: A Short-Term Traffic Flow Prediction Model Incorporating Spatiotemporal Features

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    JTEPBS.TEENG-9240.pdf (2.386Mb)
    Date
    2026
    Author
    Shen, Boyan
    Wang, Zhiwen
    Ling, Guobi
    Wang, Haoxu
    Cheng, Xiaolong
    Miao, Wei
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    Abstract
    AbstractIn intelligent transport systems (ITS), accurate and real-time traffic flow prediction is essential to reduce congestion and manage transport. Numerous existing studies have used hybrid models to extract various intrinsic patterns of traffic flow ...Practical ApplicationsIn intelligent transportation management, accurately predicting road traffic flow is crucial for alleviating congestion and optimizing road networks. Traditional methods are easily disrupted by noise in the data and struggle to fully ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313691
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