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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/23036

Title: Crowd simulation: A video observation and agent-based modelling approach
Authors: Mohamaddan, Shahrol
Case, Keith
Keywords: Agent-based modelling
Crowd simulation
Observational study
Issue Date: 2016
Publisher: © Inderscience
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.
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.
Description: 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
Version: Accepted for publication
DOI: 10.1504/IJDH.2016.10000735
URI: https://dspace.lboro.ac.uk/2134/23036
Publisher Link: http://dx.doi.org/10.1504/IJDH.2016.10000735
ISSN: 2046-3375
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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