Crowd simulation : a video observation and agent-based modelling approach

Shahrol, Mohamaddan and Case, Keith (2016) Crowd simulation : a video observation and agent-based modelling approach. International Journal of the Digital Human, 1 (3). pp. 229-247. ISSN 2046-3383

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Official URL: http://www.inderscienceonline.com/doi/abs/10.1504/...

Abstract

Human movement in a crowd can be considered as complex and unpredictable, and accordingly large scale video observation studies based on a conceptual behaviour framework were used to characterise individual movements and behaviours. The conceptual behaviours were free movement (moving through and move-stop-move), same direction movement (queuing and competitive) and opposite direction movement (avoiding and passing through). Movement in crowds was modelled and simulated using an agent-based method using the gaming software Dark BASIC Professional. The agents (individuals) were given parameters of personal objective, visual perception, speed of movement, personal space and avoidance angle or distance within different crowd densities. Two case studies including a multi-mode transportation system layout and a bottleneck/non-bottleneck evacuation are presented.

Item Type: Article
Uncontrolled Keywords: agent-based modelling, ABM, crowd simulation, observational study, video observation, multi-agent systems, MAS, agent-based systems, human crowds, crowd observation, conceptual behaviour, individual movements, human movement, crowd movement, personal objectives, visual perception, speed of movement, personal space, avoidance angle, distance, crowd densities, multi-mode transport, transport system layout, bottleneck evacuation, non-bottleneck evacuation, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 17 Nov 2016 04:34
Last Modified: 15 Sep 2020 04:15
URI: http://ir.unimas.my/id/eprint/14319

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