Multi-objective Risk Analysis for Crowd Evacuation Guidance using Multiple Visual Signs

Akira Tsurushima

2022

Abstract

Efficient crowd evacuation guidance is crucial but challenging owing to the randomness involved in evacuation situations and to the unpredictable human behaviors, e.g., herd behavior among evacuees. Many researchers have found that visual evacuation signage is useful for this purpose, and, thus, evacuation guidance systems employing visual signage have been developed. A proper arrangement of visual signs on the premises is necessary to obtain the most out of these attempts; however, several factors make this task challenging, such as multiple conflicting objectives in the evacuations and randomness and uncertainties in the situation. This study formulates the visual evacuation signage assignment problem as a stochastic multi-objective optimization problem and explores the efficient layouts of multiple visual signs on the premises. We consider two objectives for the efficient layout of visual signs, namely, maximizing the number of evacuees selecting the correct exit and minimizing the total evacuation time. The average value at risk is employed to deal with the risks involved in noisy objective functions, while the expected values of these objectives are optimized. Pareto-optimal solutions satisfying both the expected values and the risk measures were explored in cases with one, two and five evacuation signs using the NSGA-II algorithm.

Paper Citation

in Harvard Style

Tsurushima A. (2022). Multi-objective Risk Analysis for Crowd Evacuation Guidance using Multiple Visual Signs. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-547-0, pages 71-82. DOI: 10.5220/0010886400003116

in Bibtex Style

@conference{icaart22,
author={Akira Tsurushima},
title={Multi-objective Risk Analysis for Crowd Evacuation Guidance using Multiple Visual Signs},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2022},
pages={71-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010886400003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Multi-objective Risk Analysis for Crowd Evacuation Guidance using Multiple Visual Signs
SN - 978-989-758-547-0
AU - Tsurushima A.
PY - 2022
SP - 71
EP - 82
DO - 10.5220/0010886400003116