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Real-time road network traffic anomaly incident detection based on graph spatial-temporal pattern learning network
更新时间：2025-09-12

    • Real-time road network traffic anomaly incident detection based on graph spatial-temporal pattern learning network

    • “In the field of transportation, experts have proposed a real-time traffic event automatic detection method based on graph spatiotemporal pattern learning network, which effectively improves detection accuracy and reduces false alarm rate.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2145-2161(2025)
    • 作者机构：

      1.公安部道路交通安全研究中心， 北京 100062

      2.吉林大学 交通学院， 长春 130022

    • DOI：10.13229/j.cnki.jdxbgxb.20230875    

      CLC： U458

    • Received：17 August 2023，

      Published：01 July 2025

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  • CHAI Shu-shan,ZHOU Zhi-qiang,LI Hai-tao,et al.Real-time road network traffic anomaly incident detection based on graph spatial-temporal pattern learning network[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2145-2161. DOI： 10.13229/j.cnki.jdxbgxb.20230875.

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