Noor Akma, Abu Bakar and Mazlina, Abdul Majid and Khalid, Adam (2019) Simulation and Modelling the Human Crowd Evacuation. In: IOP Conference Series: Materials Science and Engineering, Joint Conference on Green Engineering Technology & Applied Computing 2019 , 4-5 February 2019 , Bangkok, Thailand. pp. 1-4., 551 (012038). ISSN 1757-8981 (Print), 1757-899X (Online)
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Abstract
The operational research (OR) become one of emerging areas and significance and its relevance to be used in the simulation and modelling. To simulating and modelling the crowd evacuation, the most important elements to have in a realistic model is the appropriate simulation technique. To simulate the evacuee's movement in crowd is still in research and challenge because of the emergence and become a complex task and dangerous for the real and actual case. The computational simulation technique is required in order to model the crowd evacuation as one part of OR and become a solution to represent the fire crowd evacuation in the closed space e.g. Building relates to human movement and its states. The theories and concept of computational method allows for creating, analysing and experimentation. The techniques; Agent-Based Simulation (ABS), Social Force Model (SFM) and the hybrid SFM/ABS has been proposed for this research work. SFM is the well-known and popular technique for crowd evacuation while ABS is best-known, intelligent and appropriate to imitate the human movement. This paper provides a review of this research work from an OR perspective and the outcomes of a review of the computational simulation techniques literature are presented, using a proposed conceptual model will be valuable for future researchers, and modellers alike
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | Human Crowd Evacuation; Simulation |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Dr. Mazlina Abdul Majid |
| Date Deposited: | 22 Aug 2019 03:22 |
| Last Modified: | 22 Aug 2019 03:22 |
| URI: | http://umpir.ump.edu.my/id/eprint/25171 |
| Download Statistic: | View Download Statistics |
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