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

We propose an approach towards multi-agent system for simulation and detection of primitive collective behaviors emerging from a crowd in panic. This paper presents various works on which our method is based, by methods of planning and decisions allowing emergence of primitive collective behaviors. We present then an implementation in a virtual environment and detection experiments of emergent collective behaviors by recognition and identification methods of the situations awareness in the domain of Data Fusion. Measurements and human evaluation of results show the utility of simulation and detection tools implemented. That would be applied to some current monitoring system, such as envisaging behavior anomalies according to specific scenarios.