In view of the fact that a single type of floating vehicle data can not fully reflect the traffic state of the road, this paper proposes a method to judge the urban traffic state based on multiple floating vehicle data. According to the operating characteristics of different vehicles, integrate the advantages and disadvantages of three common floating vehicles, fuse the data, and then use clustering algorithm to divide the traffic state, so as to more accurately reflect the real-time traffic state of urban roads. The experiment shows that this method has a good discrimination effect on the urban road traffic state. It can provide reference for urban road status discrimination and traffic management.


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    Titel :

    Road traffic status discrimination method based on data fusion of multiple floating vehicles


    Beteiligte:
    Yue, Yang (Herausgeber:in) / Xu, Shuwen (Herausgeber:in) / Huang, Yanguo (Autor:in) / Zuo, Kefei (Autor:in) / Yang, Renzheng (Autor:in) / Jin, Chao (Autor:in)

    Kongress:

    Third International Conference on Digital Signal and Computer Communications (DSCC 2023) ; 2023 ; Xi'an, China


    Erschienen in:

    Proc. SPIE ; 12716


    Erscheinungsdatum :

    2023-07-28





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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