Modelling and simulating exit selection during assisted hospital evacuation process using fuzzy logic and unity3D
Evacuation procedures are an integral aspect of the emergency response strategy of a hospital. Evacuation simulation models help to properly evaluate and improve evacuation strate- gies. However, the issue of exit selection during evacuation is often overlooked and oversimplified in the evacuati...
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Main Authors: | , , |
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Format: | Article |
Language: | English English |
Published: |
Science and Information Organization
2021
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Subjects: | |
Online Access: | http://irep.iium.edu.my/95900/7/95900_Modelling%20and%20simulating%20exit%20selection%20during%20assisted%20hospital.pdf http://irep.iium.edu.my/95900/13/95900_Modelling%20and%20simulating%20exit%20selection_Scopus.pdf http://irep.iium.edu.my/95900/ https://thesai.org/Downloads/Volume12No12/Paper_109-Modelling_and_Simulating_Exit_Selection_during_Assisted_Hospital.pdf |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Summary: | Evacuation procedures are an integral aspect of the
emergency response strategy of a hospital. Evacuation simulation
models help to properly evaluate and improve evacuation strate-
gies. However, the issue of exit selection during evacuation is
often overlooked and oversimplified in the evacuation simulation
models. Moreover, most of the available evacuation simulation
models lack integration of movement devices and assisted evacu-
ation features. However, finding a solution of these limitations
is a necessity to properly evaluate evacuation strategies. To
tackle this problem, we propose an effective approach to model
exit selection using a fuzzy logic controller (FLC) and simulate
assisted hospital evacuation using Unity3D game engine. Our
research demonstrates that selecting exits based on distance only
is not sufficient for real life situation because it ignores the
unpredictability of human behavior. On the contrary, the use of
the proposed FLC for exit selection makes the simulation more
realistic by addressing the uncertainty and randomness in an
evacuee’s decision-making process. This research can play a vital
role in future developments of evacuation simulation models. |
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