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Crowd management: simulation modelling and visualization via fuzzy agents

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...

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Main Authors: Zali, Muhamad Naim, Mohd Ibrahim, Azhar, Venkat, Ibrahim, Omar, Saiful, Belaton, Bahari
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing 2023
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/103214/1/103214_Crowd%20management%20simulation%20modelling%20and%20visualization%20via%20fuzzy%20agents.pdf
http://irep.iium.edu.my/103214/
https://aip.scitation.org/doi/abs/10.1063/5.0110450
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spelling my.iium.irep.1032142023-01-19T04:21:37Z http://irep.iium.edu.my/103214/ Crowd management: simulation modelling and visualization via fuzzy agents Zali, Muhamad Naim Mohd Ibrahim, Azhar Venkat, Ibrahim Omar, Saiful Belaton, Bahari T Technology (General) 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. AIP Publishing 2023-01-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/103214/1/103214_Crowd%20management%20simulation%20modelling%20and%20visualization%20via%20fuzzy%20agents.pdf 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. https://aip.scitation.org/doi/abs/10.1063/5.0110450 10.1063/5.0110450
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Zali, Muhamad Naim
Mohd Ibrahim, Azhar
Venkat, Ibrahim
Omar, Saiful
Belaton, Bahari
Crowd management: simulation modelling and visualization via fuzzy agents
description 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.
format Conference or Workshop Item
author Zali, Muhamad Naim
Mohd Ibrahim, Azhar
Venkat, Ibrahim
Omar, Saiful
Belaton, Bahari
author_facet Zali, Muhamad Naim
Mohd Ibrahim, Azhar
Venkat, Ibrahim
Omar, Saiful
Belaton, Bahari
author_sort Zali, Muhamad Naim
title Crowd management: simulation modelling and visualization via fuzzy agents
title_short Crowd management: simulation modelling and visualization via fuzzy agents
title_full Crowd management: simulation modelling and visualization via fuzzy agents
title_fullStr Crowd management: simulation modelling and visualization via fuzzy agents
title_full_unstemmed Crowd management: simulation modelling and visualization via fuzzy agents
title_sort crowd management: simulation modelling and visualization via fuzzy agents
publisher AIP Publishing
publishDate 2023
url http://irep.iium.edu.my/103214/1/103214_Crowd%20management%20simulation%20modelling%20and%20visualization%20via%20fuzzy%20agents.pdf
http://irep.iium.edu.my/103214/
https://aip.scitation.org/doi/abs/10.1063/5.0110450
_version_ 1755872139841372160
score 13.211869

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