The Analysis of 2D Crowd Behaviour Simulation during Emergency Situation

Hamizan, Binti Sharbini and Azlina, Binti Ahmadi Julaihi and Tan, Ping Ping and Chiu, Po Chan and Noor Alamshah, Bolhassan and Cheah, Wai Shiang and Nur Aisyah, Binti Masrizal (2019) The Analysis of 2D Crowd Behaviour Simulation during Emergency Situation. In: The 5th International Conference on Industrial and Business Engineering (ICIBE 2019), 27-29 September 2019, Hong Kong.

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Official URL: https://dl.acm.org/citation.cfm?id=3365586

Abstract

This paper will discuss about general crowd behaviour modeling during evacuation in emergency situation such as during fire breakout. Several existing simulation tools and comparison among each tool will also be discussed. The aim of this project is to develop a generic crowd model, which has the ability to demonstrate individual crowd behaviours (micro level) especially in fire emergency situation with one or more exits. The program will be able to estimate the evacuation time of panic situation during fire breakout. Apart from that, this paper also will analyze and prove that the individual agent in the simulation is able to detect and avoid collision. During panic situation, agents need to search for the exit in order to save themselves from danger. The proposed crowd simulation used agent in 2D as to simulate the crowd behaviour model while steering towards the exit.

Item Type: Proceeding (Paper)
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: Crowd simulation; evacuation management; building architectural planning, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Ahmadi Julaihi
Date Deposited: 12 Dec 2019 07:48
Last Modified: 14 Sep 2022 07:24
URI: http://ir.unimas.my/id/eprint/28230

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