Study Of Heterogeneous Agents Crowd Dynamic
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Date
2015-03-01
Authors
Siti Juliana Abu Bakar
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Abstract
In an emergency, members of a crowd often exhibit unpredictable behavior which can lead to major catastrophes if not well managed. The focus of this research was to study the crowd dynamics of heterogeneous agents, at differing densities, within a particular enclosed arena. Modelling and simulating the crowd dynamics of heterogeneous agents requires an understanding of human behavior. 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 implementation of this model was done using NetLogo version 5.0.4, which provided great efficiency in simulating multiple agents and is suitable for simulating complex phenomena. The analysis of this project focuses on average evacuation time and response rate to clear the arena under the influence of two variables. As the percentage of B agents (able to see 15 patches, and simulating greater knowledge of the arena) increased, the average evacuation time and response rate improved. As the population increased, the response rate to clear the arena become faster, however the average evacuation time become slower.