Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In this paper, a new optimization method is proposed to minimize the evacuation time of passenger using the urgent evacuation in an aircraft accident. In order to minimize the total evacuation time of the passenger, a quasi-optimization technique is examined as a multi-agent problem using an effective evacuation guidance by cabin attendant or the urgent safety system in an aircraft accident. 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. However, it is impossible by AAMAS simulation to forecast the minimum evacuation time in such chaotic situation of aircraft accident, because it is too difficult to solve the minimum evacuation time of multi-agent. Therefore, a new quasi-optimization technique is proposed by the recursive procedure for obtaining the adaptive and satisfactory minimum evacuation time from the cabin to the ground on the airport during the emergency accident of aircraft.
