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

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.

	PDF - Published Version Restricted to Repository staff only Download (1MB) | Request a copy
Preview	PDF (Scopus) - Supplemental Material Download (242kB) | Preview
Preview	PDF (Wos) - Supplemental Material Download (187kB) | Preview

Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	8484/78072
Uncontrolled Keywords:	Multiple exits evacuation simulation; Fuzzy logic, Social force model and crowd dynamics.
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1001 Transportation engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Azhar Mohd Ibrahim
Date Deposited:	14 Feb 2020 17:26
Last Modified:	12 Jun 2020 10:05
URI:	http://irep.iium.edu.my/id/eprint/78072

Actions (login required)

View Item