Evacuation route optimization architecture considering human factor

Article type: Research Article

Authors: Lujak, Marin^{a; *} | Ossowski, Sascha^b

Affiliations: [a] IMT Lille Douai, Douai, France. E-mail: marin.lujak@imt-lille-douai.fr | [b] CETINIA, University Rey Juan Carlos, Madrid, Spain. E-mail: sascha.ossowski@urjc.es

Correspondence: [*] Corresponding author. E-mail: marin.lujak@imt-lille-douai.fr.

Abstract: Rapidly changing detrimental safety conditions on an evacuation route might cause casualties and provoke panic. This is why we need to take into account these conditions for real-time route optimization. The objective of this paper is to facilitate efficient people evacuation through dynamic optimization of evacuation routes based on the safety conditions on the route and stress-related evacuees’ responses to the same. We propose a multi-agent based evacuation route optimization architecture for smart space networks that considers the influence of stress on human reactions to the recommended routes. This architecture is meant as a real-time decision support in route selection that recommends routes to evacuees, possibly through smart phone or smart building displays. The functioning of the architecture is shown on an example of a simple smart space network.

Keywords: Evacuation route optimization, smart space evacuation, panic control, dynamic path optimization, evacuation optimization

DOI: 10.3233/AIC-170721

Journal: AI Communications, vol. 30, no. 1, pp. 53-66, 2017