Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data

Atsuo Ozaki

2025

Abstract

This study introduces a Wi-Fi packet sensor developed to acquire headcount distribution data, which are obtained by deploying several of these sensors in a large-scale event, as well as describes the results of evaluating the proposed distributed and coordinated evacuation guidance method in a disaster using multi-agent simulation. The results confirm that by balancing the guide loads, it is possible to evacuate all evacuees from the venue in a shorter time than before the addition of the load balance. Furthermore, it was confirmed that if the evacuation route indicated by the guide did not significantly change the congestion situation, it was important for evacuees to choose another exit route at their discretion.

Paper Citation

in Harvard Style

Ozaki A. (2025). Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 273-278. DOI: 10.5220/0013110600003890

in Bibtex Style

@conference{icaart25,
author={Atsuo Ozaki},
title={Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={273-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013110600003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data
SN - 978-989-758-737-5
AU - Ozaki A.
PY - 2025
SP - 273
EP - 278
DO - 10.5220/0013110600003890
PB - SciTePress