School Auditorium Evacuation Simulation

Authors

  • Arwa A. Al Shamsi

Abstract

Intelligent systems are the revolution of the future that increasingly utilized recently for anticipating events and planning for disasters. Human lives are priceless. Staying safe is a need for all humans. Around the world, disasters and the unfortunate incidents may result in negative effects on both governments and individuals especially if it results in injuries or loss of lives. The main concern of the owners of real estates, projects developers and safety inspectors of environments in which crowd of people are gathered is the safety of each individual at that place. It is difficult to model disasters and unfortunate incidents in real-life situations, as a result, Agent-Based models are implemented to efficiently simulate such incidents. Agent-Based models can be used to model individual evacuation as well as human behavior during emergency situations. In this paper, an Agent-Based modeling of pedestrians was investigated. In the literature survey section, a number of research papers about Agent-Based modeling of pedestrian during emergency evacuation have been surveyed with the main focus on the crowd evacuation and human behavior during evacuation. Then the author extended Lecture Hall Evacuation Model from the NetLogo User Community Models to model the school auditorium evacuation. The author modified the lecture hall environment to match the school auditorium environment. Several scenarios were implemented to test the developed model of the evacuation for school auditorium with one exit, then for school auditorium with two exits, after that for school auditorium with three exits and finally for school auditorium with four exits. The author investigated how far the number of exits and the number of people affect the evacuation time. At last simulation results presented that school auditorium evacuation in case of four exits provided the best evacuation time while the evacuation of the school auditorium that has three exits is the worst.

References

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Published

2020-08-26

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Articles