Hybrid social force-fuzzy logic evacuation simulation model for multiple exits

One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of...

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Main Authors:	Mohd Ibrahim, Azhar, Saifullah, Mahsin, Mohd Romlay, Mohamad Rabani, Venkat, Ibrahim, Izihan, Ibrahim
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:	T Technology (General) TA1001 Transportation engineering (General)
Online Access:	http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/1/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_baru.pdf http://irep.iium.edu.my/78072/2/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_scopus.pdf

id	iium-78072
recordtype	eprints
spelling	iium-780722020-02-14T09:26:45Z http://irep.iium.edu.my/78072/ Hybrid social force-fuzzy logic evacuation simulation model for multiple exits Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim T Technology (General) TA1001 Transportation engineering (General) One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of the previous studies on evacuation models have been done over a discrete space which have neglected the uncertainty aspect of an agent’s decision making, especially when it comes to panic situations. This study proposes a model for evacuation simulation under uncertainty conditions in a continuous space via computer simulations. It will focus on developing an intelligent simulation model utilizing one of the artificial intelligence techniques which is fuzzy logic. Social Force Model will be taken as the base for basic agent motion. Membership functions such as distance from the exit, familiarity and visibility of the exit, density of crowd around the exit are incorporated in the fuzzy logic system to model the system. From our findings, it can be deduced that factors such as density, distance, and familiarity all considerably affect the time of evacuation of agents from the threat place. Indeed, uncertainty aspect influences agents’ decision making, thus affecting the result of evacuation time. Institute of Electrical and Electronics Engineers Inc. 2019-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78072/1/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_baru.pdf application/pdf en http://irep.iium.edu.my/78072/2/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_scopus.pdf Mohd Ibrahim, Azhar and Saifullah, Mahsin and Mohd Romlay, Mohamad Rabani and Venkat, Ibrahim and Izihan, Ibrahim (2019) Hybrid social force-fuzzy logic evacuation simulation model for multiple exits. In: 7th International Conference on Mechatronics Engineering, ICOM 2019, 30th–31st October 2019, Putrajaya. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952063&tag=1 10.1109/ICOM47790.2019.8952063
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General) TA1001 Transportation engineering (General)
spellingShingle	T Technology (General) TA1001 Transportation engineering (General) Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
description	One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of the previous studies on evacuation models have been done over a discrete space which have neglected the uncertainty aspect of an agent’s decision making, especially when it comes to panic situations. This study proposes a model for evacuation simulation under uncertainty conditions in a continuous space via computer simulations. It will focus on developing an intelligent simulation model utilizing one of the artificial intelligence techniques which is fuzzy logic. Social Force Model will be taken as the base for basic agent motion. Membership functions such as distance from the exit, familiarity and visibility of the exit, density of crowd around the exit are incorporated in the fuzzy logic system to model the system. From our findings, it can be deduced that factors such as density, distance, and familiarity all considerably affect the time of evacuation of agents from the threat place. Indeed, uncertainty aspect influences agents’ decision making, thus affecting the result of evacuation time.
format	Conference or Workshop Item
author	Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim
author_facet	Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim
author_sort	Mohd Ibrahim, Azhar
title	Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
title_short	Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
title_full	Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
title_fullStr	Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
title_full_unstemmed	Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
title_sort	hybrid social force-fuzzy logic evacuation simulation model for multiple exits
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2019
url	http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/ http://irep.iium.edu.my/78072/1/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_baru.pdf http://irep.iium.edu.my/78072/2/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_scopus.pdf
first_indexed	2023-09-18T21:50:03Z
last_indexed	2023-09-18T21:50:03Z
_version_	1777413708142608384

Hybrid social force-fuzzy logic evacuation simulation model for multiple exits

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