Urgent evacuation simulation in aircraft accident using AAMAS

The urgent evacuation behavior is formulated as an autonomous agent and multi-agent system (AAMAS) model evolving over a two-dimensional grid cell that represents the aircraft cabin and passenger. In this model, the autonomous agents are initially placed in seat squares and moves toward an emergency exit whenever the aircraft accident occurs. This autonomous agent can play a behavior of evacuation of passengers in the cabin, since they have not only a useful field of view to collect the useful information but also decide to move which emergency exit. In the emergent situation the agents feel the mental stress or strong fear or anxiety, thereby, the panicking is caused. The panicking agent´s behaviors delay the complete of the evacuation in the aircraft, therefore, the emotion or panicking level of the agents should be considered as an important factor in the evacuation simulation. In this paper the panicking behavior was defined with the three crisis factors such as remaining time, frequency of waiting and the difficulty of finding exit. The effect of these crisis factors for the complete time of evacuation and the number of the panicking agents in the aircraft were discussed. Considering the simulation results and situations of “Garuda Indonesia Airways Accident”, the simulation results suggested that it was possible to estimate the situation of aircraft evacuation in the emergent accident using the proposed evacuation simulator.