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Short⁃term traffic flow prediction algorithm for road network based on deep asynchronous residual network
更新时间：2025-05-26

    • Short⁃term traffic flow prediction algorithm for road network based on deep asynchronous residual network

    • “Technology media news reporter reports: The latest research utilizes deep asynchronous network models to achieve short-term traffic flow prediction in road networks, with excellent performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 12, Pages: 3458-3464(2023)
    • 作者机构：

      1.交通运输部公路科学研究院 智能交通技术交通运输行业重点实验室， 北京 100088

      2.交通运输部公路科学研究院 智能交通技术交通运输行业重点实验室， 北京 100088

      3.同济大学 交通运输工程学院， 上海 201804

    • DOI：10.13229/j.cnki.jdxbgxb.20221192    

      CLC： TP399;U491.4

    • Received：15 September 2022，

      Published：01 December 2023

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  • GAO Hai-long,XU Yi-bo,HOU De-zao,et al.Short⁃term traffic flow prediction algorithm for road network based on deep asynchronous residual network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(12):3458-3464. DOI： 10.13229/j.cnki.jdxbgxb.20221192.

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