Analysis of Evacuation Behavior in Aircraft Accident Using Evacuation Model Based on MAS

This paper evaluates the flow of passengers towards the emergency exit by using a system simulation based on a multi-agent system (MAS). To represent the behavior of panicked passengers, an internal model was introduced that reflected the changing emotional state of a passenger during an aircraft accident. In this internal model, an agent representing a panicked passenger exhibits non-adaptive behavior, that is, not following social rules regarding queuing in line at the emergency exit in the cabin. From the simulation studies, it was found that the selfish and abnormal behavior of a passenger, attributed to panic-related emotions, caused a slowdown in the cabin's evacuation flow resulting in a delay in the evacuation egress time from an aircraft after an accident. By considering the simulation results from the point of view of social psychology, it was illustrated that the size of evacuation group affects performance during the evacuation.