Detection of Primitive Collective Behaviours in a Crowd Panic Simulation Based on Multi-Agent Approach

Jérémy Patrix, Abdel-Illah Mouaddib and Sylvain Gatepaille
Additional contact information
Jérémy Patrix: CASSIDIAN SAS & University of Caen-Basse-Normandie, France
Abdel-Illah Mouaddib: GREYC (UMR 6072), University of Caen-Basse-Normandie, France
Sylvain Gatepaille: CASSIDIAN SAS, IPCC department of Val-de-Reuil, France

International Journal of Swarm Intelligence Research (IJSIR), 2012, vol. 3, issue 3, 50-65

Abstract: In case of emergency and evacuation, it is often impossible to interpret manually the complex behaviour of a crowd, essentially due to the lack of staff and time needed to understand a situation. In the literature, a monitored system using data fusion methods makes it possible to perform automatic situation awareness. Using Swarm Intelligence domain, the authors propose an approach based on multi-agent system to simulate and detect primitive collective behaviours emerging from a crowd panic. It enables anticipating collective behaviours in real-time as well as their anomalies according to specific scenarios. Detection is the possibility to learn, recognize and anticipate different behaviours by a probabilistic model. The collective behaviour detection of a crowd panic in real-time is based on a learning method on an extended model of Hidden Markov Model. This paper presents experiments of simulation and detection using an implementation of a virtual environment.

Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jsir.2012070104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:3:y:2012:i:3:p:50-65

Access Statistics for this article

International Journal of Swarm Intelligence Research (IJSIR) is currently edited by Yuhui Shi

More articles in International Journal of Swarm Intelligence Research (IJSIR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().