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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >A novel algorithm of simulating multi-velocity evacuation based on cellular automata modeling and tenability condition
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A novel algorithm of simulating multi-velocity evacuation based on cellular automata modeling and tenability condition

机译：基于元胞自动机建模和持久性条件的多速疏散模拟新算法

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A cellular automata (CA) model, which adopts the findings of tenability analysis, is proposed to simulate the evacuation from a smoke-filled room. Two algorithms, viz., direct algorithm and indirect algorithm, are used to model the behavior of a crowd consisting of people with different movement velocities. In the indirect algorithm, the movement velocity is related to probability so that the CPU time is greatly reduced. Another novelty is that an experimental formula for estimating the survival duration when exposed to constant concentration of toxic gases in a static environment is extended to one that involves varying degree of toxic gases. This has been incorporated into the CA model. (c) 2007 Elsevier B.V. All rights reserved.
机译：提出了利用持久性分析结果的元胞自动机（CA）模型，以模拟从烟雾弥漫的房间中疏散的过程。两种算法，即直接算法和间接算法，用于对由具有不同运动速度的人组成的人群的行为进行建模。在间接算法中，移动速度与概率有关，从而大大减少了CPU时间。另一个新颖之处是，用于估算在静态环境中暴露于恒定浓度的有毒气体时生存时间的实验公式已扩展到涉及不同程度的有毒气体的公式。这已被合并到CA模型中。 （c）2007 Elsevier B.V.保留所有权利。

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