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.
Traffic Congestion Evaluation and Management Optimization Based on Queueing Model and VISSIM Simulation
2018-05-01
1254293 byte
Conference paper
Electronic Resource
English
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