In the urban intelligent transportation system, the traffic department can better grasp the current situation of traffic flow through the collection and analysis of road traffic information. In the description of the overall traffic situation, most scholars still rely on the observation data in a certain period of time to give subjective evaluation, and can only roughly describe the overall change of traffic data in a certain period of time on a road. The traffic flow model can be used to simulate the traffic congestion situation more accurately, and combined with the developed evaluation index, any instantaneous traffic congestion situation can be evaluated at multiple points, providing a scientific and effective theoretical basis for the traffic diversion and traffic control of smart cities.


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    Titel :

    Smart city: road traffic evaluation based on traffic flow model


    Beteiligte:
    Wang, Hui (Autor:in) / Cao, Jie (Autor:in) / Xin, Fengmei (Autor:in) / Xu, Lili (Autor:in) / Li, Xin (Autor:in)

    Kongress:

    International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021) ; 2021 ; Zhengzhou,China


    Erschienen in:

    Proc. SPIE ; 12165


    Erscheinungsdatum :

    14.03.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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