基于元胞自动机的有障碍物行人疏散

2012 Fifth International Joint Conference on Computational Sciences and Optimization Pub Date : 2012-06-23 DOI:10.1109/CSO.2012.104

Nuo Zhu, B. Jia, C. Shao

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引用次数: 3

摘要

提出了一种基于元胞自动机(CA)的室内固定障碍物行人疏散仿真方法。根据二维元胞自动机摩尔邻域建立行人运动规则。制定动态参数:Direction-parameter、Empty-parameter和cognitive -parameter，从战术上简化行人的决策过程，反映行人对周围条件的判断，决定行人的行动选择。提出了基于欧氏距离的改进Dijkstra度量来计算有障碍物疏散系统的静态地板场值。为了显示模型的先进性，对改进模型和原模型的仿真结果进行了比较和分析。仿真结果与实际情况吻合，对行人疏散具有指导意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pedestrian Evacuation with the Obstacles Based on Cellular Automata

Simulation of pedestrian evacuation in a room with fixed obstacles is presented based on cellular automata (CA) in this paper. Pedestrian moving rules are established, according to two-dimensional cellular automaton Moore neighborhood. The dynamic parameters: Direction-parameter, Empty-parameter and Cognition-parameter are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and decide the pedestrian's choice of action. We propose the improved Dijkstra metric to compute the values of static floor field for evacuation system with obstacles based on the Euclidean distance. In order to show the advanced nature of our model, the simulation results of the improved and previous model are compared and analyzed. The simulation results correspond with the actual, it is instructional significant for pedestrian evacuation.

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来源期刊

2012 Fifth International Joint Conference on Computational Sciences and Optimization

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