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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 authored by Shahrol Mohamaddan, Keith CaseKeith 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.

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

ISSN

2046-3375

Language

en