Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles

Eduardo C. Silva, Gabriela S. Damazo, Gina M. B. Oliveira, Luiz G. A. Martins

2025

Abstract

Understanding and predicting human behavior in normal and emergency situations is a difficult task that attracts the attention of many researchers. In this sense, modeling and simulation of collective pedestrian dynamics (CPD) is essential in society, as it is used in various scenarios, such as urban planning and public safety. Cellular Automata stand out as simple computational tools capable of identifying and reproducing the complexity of various patterns, such as pedestrian movement, especially during evacuation in emergency situations. Models of this type take several parameters into consideration, such as the strategy for choosing the floor, the interaction between pedestrians, social phenomena, such as panic and the tendency to follow crowds, among others. This work proposes a model based on cellular automata for modeling CPD, strongly based on the Varas Model, which combines three changes to bring the simulation closer to reality. These are: changing the movement dynamics, presenting the separation between surmountable and impassable obstacles, and changing the permission to pass between objects diagonally. These updates speed up the pedestrian evacuation process and increase the level of credibility of the simulations compared to reality.

Download


Paper Citation


in Harvard Style

Silva E., Damazo G., Oliveira G. and Martins L. (2025). Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 463-471. DOI: 10.5220/0013186300003890


in Bibtex Style

@conference{icaart25,
author={Eduardo Silva and Gabriela Damazo and Gina Oliveira and Luiz Martins},
title={Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2025},
pages={463-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013186300003890},
isbn={978-989-758-737-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles
SN - 978-989-758-737-5
AU - Silva E.
AU - Damazo G.
AU - Oliveira G.
AU - Martins L.
PY - 2025
SP - 463
EP - 471
DO - 10.5220/0013186300003890
PB - SciTePress