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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    Title :

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


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


    Publication date :

    2018-05-01


    Size :

    1254293 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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