Evacuation Route Optimization Architecture Considering Human Factor

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 optimiza- tion architecture for smart space networks that considers the in uence 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.