Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System

Akira Tsurushima

2025

Abstract

Resilience is a critical factor in dynamic evacuation guidance systems, which must remain functional in harsh environments. However, most evacuation studies have seldom addressed system resilience. This study proposes a distributed dynamic evacuation guidance system that sustains functionality even when some components are damaged during evacuation, thereby enhancing the overall reliability and redundancy of the system by avoiding single points of failure. We evaluated the system performance through asynchronous multi-agent simulations to assess its effectiveness in maintaining guidance during a spreading fire that compromised its components. The experiments revealed that the proposed system with failed components performed comparably to a fully operational system when failures occurred in response to the fire severity. The adverse effects of random component failure were mitigated using two strategies: spatial interpolation and persistent guidance, resulting in a performance comparable to that of a failure-free system.

Paper Citation

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System
SN - 978-989-758-737-5
AU - Tsurushima A.
PY - 2025
SP - 497
EP - 506
DO - 10.5220/0013234400003890
PB - SciTePress

in Harvard Style

Tsurushima A. (2025). Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 497-506. DOI: 10.5220/0013234400003890

in Bibtex Style

@conference{icaart25,
author={Akira Tsurushima},
title={Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={497-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013234400003890},
isbn={978-989-758-737-5},
}