A simplified human cognitive approach for supporting crowd modeling in tunnel fires emergency simulation

Authors:
Enrico Briano;Roberto Mosca;Roberto Revetria;Alessandro Testa
Affiliations:
Department of Industrial Production, Technology, and Mathematical Models, Genoa, Ital;Department of Industrial Production, Technology, and Mathematical Models, Genoa, Ital;Department of Industrial Production, Technology, and Mathematical Models, Genoa, Ital;Department of Industrial Production, Technology, and Mathematical Models, Genoa, Ital
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Year:
2011

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Abstract

This work focuses on the human behavior during an evacuation of a motorway tunnel. First of all the technical prescriptions have been taken into account, according with the current legislation updated after the Mont Blanc Tunnel tragedy of March 1999. In order to study how people behave in case of emergency an innovative simplified approach has been applied based on a mix of Thomas Saaty's Analytic Hierarchic Process (AHP) and Schmidt's PECS (Physical Emotional Cognitive Social) Model. This methodology has been implemented in a simulation model implementing both 2D and 3D heat and smoke propagation in order to investigate crowd reaction during escape in tunnel fires emergencies. All the scenarios have been analyzed and evaluated using Analysis of Variance (ANOVA) and Response Surface Methodology (RSM).