Abstract
This paper presents an integrated model that approximates pedestrian behavior in case of a fire emergency and its consequences. We have modeled a confined fire with a variable spread rate, based on the existing literature pertaining to the field. The fire has both psychological and physical impacts on the state of the agents. The model also incorporates clustering behavior in agents, which slows down the evacuation. The model helps recognize bottlenecks and compares the evacuation efficiency by comparing casualties across different scenarios. Simulation results are given as illustrations and give qualitative insights into the risks and likely problems in specific fire scenarios.
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Singh, J., Deshpande, A., Rao, S. (2020). Modeling Pedestrian Behavior Under Panic During a Fire Emergency. In: Paolucci, M., Sichman, J.S., Verhagen, H. (eds) Multi-Agent-Based Simulation XX. MABS 2019. Lecture Notes in Computer Science(), vol 12025. Springer, Cham. https://doi.org/10.1007/978-3-030-60843-9_2
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