A novel algorithm of simulating multi-velocity evacuation based on cellular automata modeling and tenability condition
A novel algorithm of simulating multi-velocity evacuation based on cellular automata modeling and tenability condition
复制标题
DOI：
10.1016/j.physa.2006.12.044
复制
发表时间：
2007-06
影响因子：
3.3
通讯作者：
Yuan Weifeng;T. Hai
中科院分区：
文献类型：
--
作者：
Yuan Weifeng;T. Hai
采用可持续性分析的结果，提出了一个元胞自动机（CA）模型，模拟从一个充满烟雾的房间疏散。两种算法，即，采用直接算法和间接算法对具有不同运动速度的人群的行为进行建模。在间接算法中，运动速度与概率有关，从而大大减少了CPU时间。另一个新奇是，一个实验公式估计生存时间时，暴露于恒定浓度的有毒气体在静态环境中扩展到一个涉及不同程度的有毒气体。这一点已被纳入保护性耕作模式。
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.