Crowd management: simulation modelling and visualization via fuzzy agents

Zali, Muhamad Naim and Mohd Ibrahim, Azhar and Venkat, Ibrahim and Omar, Saiful and Belaton, Bahari (2023) Crowd management: simulation modelling and visualization via fuzzy agents. In: 8th Brunei International Conference on Engineering and Technology 2021, 8th - 10th November 2021, Brunei Darussalam.

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Abstract

Simulation of crowd dynamics plays an essential role to understand crowd behavior and thus could help crowd management authorities in the process of organizing safer and broader events. The purpose of this study is to model, simulate and visualize crowd dynamics applicable to emergency situations via human-like intelligent agents governed by the rules of fuzzy-logic. At the micro level the crowd is perceived as a group of individual agents (pedestrians). During an emergency situation each agent’s goal is to evacuate through an exit. This study cohesively deploys fuzzy-logic based control mechanisms to determine the degree of emergency level pertaining to each agent in the crowd. Further, Unity based simulation and visualization models are proposed to display critical areas of the crowd during a typical evacuation process. Results justify the fact that the evacuation time taken shows significant increments proportional to the population size of the agents while the percentage of emergency level portrays quite similar trends.

Item Type:	Conference or Workshop Item (Slide Presentation)
Uncontrolled Keywords:	Panic Crowd Simulation; Crowd Evacuation; Visualization; Fuzzy Logic; Intelligent Agents; Artificial Intelligence.
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Azhar Mohd Ibrahim
Date Deposited:	19 Jan 2023 11:25
Last Modified:	19 Jan 2023 12:21
URI:	http://irep.iium.edu.my/id/eprint/103214

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