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Evaluation of Emergency Evacuation Capacity of Subway Station Based on M/G/c/c

机译:基于M / G / c / c的地铁站应急疏散能力评价

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In the case of an emergency, accurately assessment of evacuation capability is the key to safe and efficient evacuation. M/G/c/c represents a queuing model where customers' arrivals obey Poisson distribution, the service time obeys general distribution, the system has c service desks, and its capacity is c. It is suitable for the analysis of pedestrian walking process and the calculation of corresponding indicators in various spaces. The evacuation time, passenger flow density and facility bottleneck are chosen as evaluation indexes to analyze pedestrian walking characteristics and connection structure of station divergence nodes. Based on the M/G/c/c queuing model, a pedestrian divergence node probabilistic selection optimization model is constructed. Then, we use lingo software to solve the model. And Jianguomen Subway Station is used to verify its effectiveness.
机译:在紧急情况下,准确评估疏散能力是安全有效疏散的关键。 M / G / c / c表示一种排队模型,其中客户的到达服从泊松分布,服务时间服从通用分布,系统具有c个服务台,容量为c。适用于各种空间行人步行过程的分析和相应指标的计算。选择疏散时间,客流密度和设施瓶颈作为评价指标,以分析人行道的步行特性和车站发散节点的连接结构。基于M / G / c / c排队模型,构造了行人散度节点概率选择优化模型。然后,我们使用lingo软件来求解模型。建国门地铁站被用来验证其有效性。

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