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Download fileCrowd simulation: A video observation and agent-based modelling approach
journal contribution
posted on 2016-11-03, 10:00 authored by Shahrol Mohamaddan, Keith CaseKeith CaseHuman 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of the Digital HumanVolume
1Issue
3Pages
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
© InderscienceVersion
- 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
2016-03-03Publication date
2016-10-18Notes
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.2016.10000735ISSN
2046-3375Publisher version
Language
- en