Many-particle simulation of the evacuation process from a room without visibility

Abstract

We study the evacuation process from a smoky room by means of experiments and simulations. People in a dark or smoky room are mimicked by ``blind'' students wearing eye masks. The evacuation of the disoriented students from the room is observed by video cameras, and the escape time of each student is measured. We find that the disoriented students exhibit a distinctly different behavior compared with a situation in which people can see and orient themselves. Our experimental results are reproduced by an extended lattice gas model taking into account the empirically observed behavior. Our particular focus is on the mean value and distribution of escape times. For a large number of people in the room, the escape time distribution is wide because of jamming. Surprisingly, adding more exits does not improve the situation in the expected way, since most people use the exit that is discovered first, which may be viewed as ``herding effect'' based on accoustic interactions. Moreover, the average escape time becomes minimal for a certain finite number of people in the dark or smoky room. These non-linear effects have practical implications for emergency evacuation and the planning of safer buildings.

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• The Cry Wolf Effect in Evacuation: a Game-Theoretic Approach
• Origin of the correlations between exit times in pedestrian flows through a bottleneck
• From Crowd Dynamics to Crowd Safety: A Video-Based Analysis
• Escaping in couples facilitates evacuation: Experimental study and modeling