Traffic congestion has become a serious problem in large hospital located in the areas with the high-density population. To mitigate the serious traffic congestion situation so that patients can timely obtain diagnosis and treatment, by accessing real-time monitoring traffic data from a provincial Maternal and Child Health Care Hospital, we propose and simulate three proposed traffic management strategies based on hospital traffic characteristics and the estimated traffic volume through a model developed based on the queueing theory. The results show that the three proposed strategies can relieve the traffic congestion faced by the large hospital.


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    Titel :

    Traffic Congestion Evaluation and Management Optimization Based on Queueing Model and VISSIM Simulation


    Beteiligte:
    Guo, Yue (Autor:in) / Zhang, Yubin (Autor:in) / Zhao, Yihua (Autor:in) / Jia, Qiong (Autor:in) / Jing, Zhe (Autor:in) / Ren, Yifei (Autor:in) / Li, Rong (Autor:in) / Luo, Xin (Autor:in)


    Erscheinungsdatum :

    01.05.2018


    Format / Umfang :

    1254293 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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