Abstract
In an emergency situation, members of a crowd often exhibit unpredictable behavior which can lead to major catastrophes if not well managed. The focus of this work is to analyze the crowd dynamics of heterogeneous agents, at differing densities, within an enclosed arena. Each individual reacts differently to a panic, based on diverse factors like physical contact, emotion, attraction, sights and many others. It is the combination of these individual behaviors that ultimately affects crowd behavior. When a panic occurs, the motivation of each agent is to leave the arena as soon as possible by obeying the flocking rule, the follower rule, and obstacle avoidance rule. The analysis of this work focuses on evacuation time and response rate to clear the arena under the influence of type of agent, and crowd density. Result shows that as the percentage of agents with greater knowledge of the arena increases, the evacuation time and response rate are improving. Secondly, as the the crowd density increases, the response rate to clear the arena is getting quicker, however the average evacuation time is getting slower.
Part of this work is funded by Universiti Sains Malaysia (USM) under grant no 304/PELECT/60313019.
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Abu-Bakar, S.J., Othman, W.A.F.W., Alhady, S.S.N. (2017). An Analysis of Heterogeneous Swarm Evacuation Model. In: Ibrahim, H., Iqbal, S., Teoh, S., Mustaffa, M. (eds) 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 398. Springer, Singapore. https://doi.org/10.1007/978-981-10-1721-6_16
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DOI: https://doi.org/10.1007/978-981-10-1721-6_16
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