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Short-term traffic flow prediction based on clustering algorithm and graph neural network
更新时间：2025-05-26

    • Short-term traffic flow prediction based on clustering algorithm and graph neural network

    • “In the field of traffic flow prediction, researchers have proposed a deep learning model that effectively improves prediction accuracy by combining clustering algorithms, graph neural networks, and gated recurrent units.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 6, Pages: 1593-1600(2024)
    • 作者机构：

      兰州理工大学 计算机与通信学院，兰州 730050

    • DOI：10.13229/j.cnki.jdxbgxb.20220950    

      CLC： TP183;U491

    • Received：26 July 2022，

      Published：01 June 2024

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  • ZHANG Xi-jun,YU Guang-jie,CUI Yong,et al.Short-term traffic flow prediction based on clustering algorithm and graph neural network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(06):1593-1600. DOI： 10.13229/j.cnki.jdxbgxb.20220950.

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