Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model

Norhaida, Hussain and Wai Shiang, Cheah (2022) Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model. Journal of Optimization in Industrial Engineering, 15 (1). pp. 233-241. ISSN 2251-9904

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Official URL: http://www.qjie.ir/article_686783_0a9f3247997faa03...

Abstract

Mobile crowd steering application has received much attention nowadays to steer crowds during fire or disaster evacuation. As reported in many studies, real drill experiments have been conducted to validate the mobile crowd steering application. However, simulations have also been undertaken to overcome the limitation of practical drill experiments when testing the application. Although there are algorithms reported for agent-based mobile crowd simulations, not many studies have adopted the social notion during mobile crowd steering simulations. As mobile crowd steering applications require user interaction during fire evacuation, we have foreseen a gap in current simulation algorithms, which leads to unrealistic simulation. This paper introduced a new insight into the agent-based crowd simulation through integration of communication strategy into the state of the art of social force for crowd management. The model was presented, formulated, and validated through a fire evacuation simulation. From the simulation results, the proposed model can reduce evacuation time and crowd density at the door opening area as compared to the original Social Force Model in a similar experimental setup.

Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: Social force model; crowd evacuation simulation; NetLogo; microscopic simulation.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 30 Jun 2022 07:49
Last Modified: 07 Sep 2022 02:01
URI: http://ir.unimas.my/id/eprint/38774

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