In recent years, smart lighting system develops rapidly in China. As the provider of poles and power supply, the smart lighting system could not only provide intelligent lighting schemes for road users but also give the extra chance of installing more traffic flow sensors and variable message signs which are important for traffic management. Therefore, it is considered more economical to apply smart light pole to traffic management. However, no recognized traffic analysis models based on the smart light pole are established since the smart light pole is just developed. In order to provide the application advice of smart light pole for urban traffic management, this paper focuses on the real-time traffic status analysis methods based on the smart light pole in the urban road network. Three typical urban traffic scenes such as an intersection, a link, and a regional road network are selected, and the smart light pole-based real-time traffic status analysis methods are established respectively. Firstly, oriented to the traffic status analysis, the installation suggestions of smart light pole are given for typical traffic scenes, such as the installation position and the installed devices. Secondly, the traffic models of real-time traffic status analysis in typical urban traffic scenes are proposed. Finally, the analysis methods are established for these scenes. These proposed methods will be helpful to standardize the application of smart light poles in traffic management.


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    Titel :

    Real-Time Traffic Status Analysis Methods Based on Smart Light Pole for Typical Urban Traffic Scenes


    Beteiligte:
    Zhao, Nale (Autor:in) / Hao, Siyuan (Autor:in) / Wu, Yizheng (Autor:in) / Li, Jiahui (Autor:in) / Wu, Keman (Autor:in) / Ji, Chengwu (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3051-3062


    Erscheinungsdatum :

    12.08.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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