In the urban road network, road intersections have always been an important node of the entire urban traffic system, and they are also the areas with the densest traffic volume on urban roads. At present, there are still many problems in the traffic of some urban road intersections. On the one hand, it leads to lower traffic efficiency of vehicles, and on the other hand, it also poses a threat to the safe driving of vehicles. Based on this, in order to improve the traffic capacity, operation efficiency and safety of urban road intersections, this paper takes the Xinghai Road-Shuangqi Road intersection in Nanjing as an example, and uses VISSIM micro-simulation software to analyze. The average queuing length, maximum queuing length, and number of stops for the entrance, south entrance, and west entrance have been improved, and the index corresponding to the north entrance has become worse. If joint optimization is used in the future, the channelization of the south entrance will be changed to a straight lane and left and right shared lanes. And design the signal timing through the Webster method, and its simulation effect will be greatly improved. It can provide an effective reference for the optimal design of signal timing at intersections of the same type of urban roads.


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    Titel :

    Optimum Design of Urban Road Intersection Signal Timing Based on VISSIM Simulation


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Wu, Jianping (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Li, Ruimin (Herausgeber:in) / Zhang, Haodong (Herausgeber:in) / Li, Zhe (Autor:in) / Cao, Congyong (Autor:in) / Kong, Chaoqun (Autor:in)

    Kongress:

    International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021



    Erscheinungsdatum :

    2022-10-28


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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