A Stochastic Cellular Automata for Modeling Pedestrian Groups Distribution

被引：0
|
作者：
Manenti, Lorenza [1 ]
Manzoni, Sara [1 ]
Bandini, Stefania [1 ]
机构：
[1] Univ Milano Bicocca, CSAI Complex Syst & Artificial Intelligence Res C, I-20126 Milan, Italy
来源：
JOURNAL OF CELLULAR AUTOMATA | 2013年 / 8卷 / 5-6期
关键词：
Stochastic CA; groups; pedestrians; crowd; granulometric distributions; percolation; simulation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cellular Automata approach has already been used in the literature to develop computational models for the controlled generation of granulometric distribution. In this work, we present a model based on a Stochastic Cellular Automata to generate granulometric distribution of pedestrian groups in structured spaces, taking into account morphological properties of groups and basic behavioral rules. The main scope of the model is to produce plausible initial configurations for pedestrian simulations, giving a discussion about the calibration and the possible validation of the tool based on the CA-model.
引用
收藏
页码：321 / 332
页数：12
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