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首页> 外文期刊>Physica Scripta: An International Journal for Experimental and Theoretical Physics >The cellular automata evacuation model based on E-r/M/1 distribution
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The cellular automata evacuation model based on E-r/M/1 distribution

机译：基于E-R / M / 1分布的蜂窝自动机疏散模型

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摘要

In the evacuation process of indoor space, it is often easy to form congestion and queuing phenomena at the exit due to the limitation of space capacity. For this reason, in this paper, the queuing condition of pedestrians at the exit is described based on E-r/M/1 distribution and a crowd evacuation model is established using cellular automata. The model firstly gives a calculation method for movement benefits of pedestrians at the next moment according to field domain and queuing time, and deeply deduces the queuing time using the queuing phase. In addition, a simulation platform is established based on the evacuation model to deeply analyze the relationships among the parameters such as queuing time, actual phase, average queuing length and average velocity. The results show that when the exit flow rate is about to reach a saturation condition, the average queuing length presents a trend of steady increase followed by sharp increase after further increase in the number of pedestrians; and meanwhile, the queuing time increases rapidly when the aggregation degree near the exit increases to 0.4-0.6.
机译：在室内空间的疏散过程中，由于空间容量的限制，通常容易形成出口处的拥塞和排队现象。因此，在本文中，基于E-R / M / 1分布描述出口处的行人排队条件，并且使用蜂窝自动机建立人群疏散模型。该模型首先给出了根据现场领域和排队时间的下一刻在下一刻的运动益处的计算方法，并使用排队阶段深深地推断出排队时间。另外，基于疏散模型建立了模拟平台，以深入分析参数之间的关系，例如排队时间，实际相位，平均排队长度和平均速度。结果表明，当出口流速即将达到饱和条件时，平均排队长度呈现稳步增加的趋势，然后在行人数进一步增加后急剧增加;同时，当出口附近的聚集度增加到0.4-0.6时，排队时间迅速增加。

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