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

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


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 journal contribution
  posted on 03.11.2016, 10:00 by Shahrol Mohamaddan,  Keith Case

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.

Categories
	Mechanical Engineering not elsewhere classified


Keywords
Agent-based modellingCrowd simulationObservational study


History

School
	Mechanical, Electrical and Manufacturing Engineering


Published in
International Journal of the Digital Human
Volume
1
Issue
3
Pages
229 - 247 (19)
Citation
MOHAMADDAN, S. and CASE, K., 2016. Crowd simulation: A video observation and agent-based modelling approach. International Journal of the Digital Human, 1(3), pp. 229-247.
Publisher
© Inderscience
Version
AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
03/03/2016
Publication date
2016-10-18
Notes
This paper was accepted for publication in the journal International Journal of the Digital Human and the definitive published version is available at http://dx.doi.org/10.1504/IJDH.2016.10000735
DOI
	https://doi.org/10.1504/IJDH.2016.10000735


ISSN
2046-3375
Publisher version
	http://dx.doi.org/10.1504/IJDH.2016.10000735


Language
en
Administrator link
	https://repository.lboro.ac.uk/account/articles/9565757



Licence
CC BY-NC-ND 4.0

Exports
Select an optionRefWorksBibTeXRef. managerEndnoteDataCiteNLMDC






Categories
	Mechanical Engineering not elsewhere classified


Keywords
Agent-based modellingCrowd simulationObservational study

Licence
CC BY-NC-ND 4.0

Exports
Select an optionRefWorksBibTeXRef. managerEndnoteDataCiteNLMDC








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