MOTOR SCHEMA-BASED CELLULAR AUTOMATON MODEL FOR PEDESTRIAN DYNAMICS

Wenguo Weng (), Yuji Hasemi () and Weicheng Fan ()
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Wenguo Weng: Center for Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, 100084, P. R. China
Yuji Hasemi: Department of Architecture, Waseda University, Okubo 3-4-1, Shinjuku-ku, Tokyo, 169-8555, Japan
Weicheng Fan: Center for Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, 100084, P. R. China

International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 06, 853-859

Abstract: A new cellular automaton model for pedestrian dynamics based on motor schema is presented. Each pedestrian is treated as an intelligent mobile robot, and motor schemas including move-to-goal, avoid-away and avoid-around drive pedestrians to interact with their environment. We investigate the phenomenon of many pedestrians with different move velocities escaping from a room. The results show that the pedestrian with high velocity have predominance in competitive evacuation, if we only consider repulsion from or avoiding around other pedestrians, and interaction with each other leads to disordered evacuation, i.e., decreased evacuation efficiency. Extensions of the model using learning algorithms for controlling pedestrians, i.e., reinforcement learning, neural network and genetic algorithms, etc. are noted.

Keywords: Cellular automaton; pedestrian dynamics; motor schema; mobile robot; 05.65.+b; 45.40.Ln; 84.35.+i (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0129183106009370

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