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Traffic speed prediction of regional complex road networks integrating CapsNet with D-BiLSTM
更新时间：2025-05-26

    • Traffic speed prediction of regional complex road networks integrating CapsNet with D-BiLSTM

    • “In the field of traffic prediction, researchers have proposed a deep learning model that combines capsule networks and deep bidirectional LSTM, effectively improving the accuracy of complex road network traffic prediction.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 9, Pages: 2531-2539(2024)
    • 作者机构：

      1.兰州理工大学 计算机与通信学院， 兰州 730050

      2.兰州城市学院 信息工程学院， 兰州 730070

    • DOI：10.13229/j.cnki.jdxbgxb.20221455    

      CLC： TP183

    • Received：14 November 2022，

      Published：01 September 2024

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  • CAO Jie,SU Guang,ZHANG Hong,et al.Traffic speed prediction of regional complex road networks integrating CapsNet with D-BiLSTM[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(09):2531-2539. DOI： 10.13229/j.cnki.jdxbgxb.20221455.

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