Modelling the movement of crowd evacuation using computational simulation technique

Intelligence likewise the computational and simulation model. The technique consist the theories and concept which can be operated by the machine and important to realize that the computational method allows for creating, analyzing and experimentation. The most popular and well-known technique is Ag...

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Main Authors: Noor Akma, Abu Bakar, Mazlina, Abdul Majid, Khalid, Adam, Allegra, Mario
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/23454/7/Modelling%20the%20movement%20of%20crowd%20evacuation1.pdf
http://umpir.ump.edu.my/id/eprint/23454/
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spelling my.ump.umpir.234542019-08-22T06:34:24Z http://umpir.ump.edu.my/id/eprint/23454/ Modelling the movement of crowd evacuation using computational simulation technique Noor Akma, Abu Bakar Mazlina, Abdul Majid Khalid, Adam Allegra, Mario QA76 Computer software Intelligence likewise the computational and simulation model. The technique consist the theories and concept which can be operated by the machine and important to realize that the computational method allows for creating, analyzing and experimentation. The most popular and well-known technique is Agent-based Simulation (ABS). ABS is able working in emergent phenomenon with the characteristic of individual agent behavior and movement. Whereas Social Force Model (SFM) has been used in last few decades and attracted the researchers in the crowd evacuation investigation. Hence artificial intelligence (AI) is advancing to produce more concise and interesting crowd behaviors but not guarantee to produce the realistic model. So, this research work investigates the three simulation techniques which are SFM, ABS and the hybrid of SFM/ABS in order to simulating the crowd evacuation of human pedestrian in the building using computational simulation tool. The research work has been started with the case study description and data collection. Secondly, the development of conceptual model and the implementation of the simulation models using the computational simulation tool. This research work aimed to have these three different computation simulation techniques and intended for the most appropriate and better simulation model as the expected results. Findings from this research work show that the proposed simulations model using the computational simulation techniques can assist developer and the researcher to implement the human movement of crowd simulation model (a case study of in the building on fire) 2018-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23454/7/Modelling%20the%20movement%20of%20crowd%20evacuation1.pdf Noor Akma, Abu Bakar and Mazlina, Abdul Majid and Khalid, Adam and Allegra, Mario (2018) Modelling the movement of crowd evacuation using computational simulation technique. In: Smartcity Symposium 2018 (SCS2018), 15-17 Oktober 2018 , Putrajaya, Malaysia. pp. 1-13.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Noor Akma, Abu Bakar
Mazlina, Abdul Majid
Khalid, Adam
Allegra, Mario
Modelling the movement of crowd evacuation using computational simulation technique
description Intelligence likewise the computational and simulation model. The technique consist the theories and concept which can be operated by the machine and important to realize that the computational method allows for creating, analyzing and experimentation. The most popular and well-known technique is Agent-based Simulation (ABS). ABS is able working in emergent phenomenon with the characteristic of individual agent behavior and movement. Whereas Social Force Model (SFM) has been used in last few decades and attracted the researchers in the crowd evacuation investigation. Hence artificial intelligence (AI) is advancing to produce more concise and interesting crowd behaviors but not guarantee to produce the realistic model. So, this research work investigates the three simulation techniques which are SFM, ABS and the hybrid of SFM/ABS in order to simulating the crowd evacuation of human pedestrian in the building using computational simulation tool. The research work has been started with the case study description and data collection. Secondly, the development of conceptual model and the implementation of the simulation models using the computational simulation tool. This research work aimed to have these three different computation simulation techniques and intended for the most appropriate and better simulation model as the expected results. Findings from this research work show that the proposed simulations model using the computational simulation techniques can assist developer and the researcher to implement the human movement of crowd simulation model (a case study of in the building on fire)
format Conference or Workshop Item
author Noor Akma, Abu Bakar
Mazlina, Abdul Majid
Khalid, Adam
Allegra, Mario
author_facet Noor Akma, Abu Bakar
Mazlina, Abdul Majid
Khalid, Adam
Allegra, Mario
author_sort Noor Akma, Abu Bakar
title Modelling the movement of crowd evacuation using computational simulation technique
title_short Modelling the movement of crowd evacuation using computational simulation technique
title_full Modelling the movement of crowd evacuation using computational simulation technique
title_fullStr Modelling the movement of crowd evacuation using computational simulation technique
title_full_unstemmed Modelling the movement of crowd evacuation using computational simulation technique
title_sort modelling the movement of crowd evacuation using computational simulation technique
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23454/7/Modelling%20the%20movement%20of%20crowd%20evacuation1.pdf
http://umpir.ump.edu.my/id/eprint/23454/
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score 13.2014675