Simulation of Pedestrian Crowds Using Probability Value Cellular Automata

There are several approaches to the simulation of pedestrian crowds. Previous studies have treated pedestrians as agents or particles in these simulations. Simulations that include random elements must be run many times and use the average result. In this paper, we propose a method for pedestrian si...

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Bibliographic Details
Published in2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) pp. 665 - 666
Main Author Iizuka, Yasuki
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.07.2024
Subjects
Automata
Cellular automata
Informatics
Pedestrian simulation
Pedestrians
Probability distribution
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DOI10.1109/IIAI-AAI63651.2024.00127

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Summary:There are several approaches to the simulation of pedestrian crowds. Previous studies have treated pedestrians as agents or particles in these simulations. Simulations that include random elements must be run many times and use the average result. In this paper, we propose a method for pedestrian simulation by means of a probability value cellular automaton. Pedestrians are represented by a probability distribution and moved according to rules. The congestion distribution of the pedestrian flow can be computed with a single simulation by the calculation of the spatio-temporal probability of pedestrian presence. The validity of the method was verified by experimentation.
DOI:10.1109/IIAI-AAI63651.2024.00127