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

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 mo...

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Main Authors: Shahrol, Mohamaddan, Case, Keith
Format: Article
Language:English
Published: Inderscience Enterprises Ltd. 2016
Subjects:
Online Access:http://ir.unimas.my/id/eprint/14319/
http://ir.unimas.my/id/eprint/14319/1/Crowd%20Simulation%20-%20Copy.pdf
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author Shahrol, Mohamaddan
Case, Keith
author_facet Shahrol, Mohamaddan
Case, Keith
author_sort Shahrol, Mohamaddan
building UNIMAS Institutional Repository
collection Online Access
description 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.
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publisher Inderscience Enterprises Ltd.
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spelling unimas-143192020-09-15T04:15:08Z http://ir.unimas.my/id/eprint/14319/ Crowd simulation : a video observation and agent-based modelling approach Shahrol, Mohamaddan Case, Keith TA Engineering (General). Civil engineering (General) 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. Inderscience Enterprises Ltd. 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/14319/1/Crowd%20Simulation%20-%20Copy.pdf 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 http://www.inderscienceonline.com/doi/abs/10.1504/IJDH.2016.079895#d2252e79 DOI: 10.1504/IJDH.2016.079895
spellingShingle TA Engineering (General). Civil engineering (General)
Shahrol, Mohamaddan
Case, Keith
Crowd simulation : a video observation and agent-based modelling approach
title Crowd simulation : a video observation and agent-based modelling approach
title_full Crowd simulation : a video observation and agent-based modelling approach
title_fullStr Crowd simulation : a video observation and agent-based modelling approach
title_full_unstemmed Crowd simulation : a video observation and agent-based modelling approach
title_short Crowd simulation : a video observation and agent-based modelling approach
title_sort crowd simulation : a video observation and agent-based modelling approach
topic TA Engineering (General). Civil engineering (General)
url http://ir.unimas.my/id/eprint/14319/
http://ir.unimas.my/id/eprint/14319/
http://ir.unimas.my/id/eprint/14319/
http://ir.unimas.my/id/eprint/14319/1/Crowd%20Simulation%20-%20Copy.pdf