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Emergency evacuation is of paramount importance in protecting human lives and property while enhancing the effectiveness and preparedness of organizations and management agencies in responding to emergencies. In this paper, we propose a method for evacuating passengers to safe places with the shortest possible evacuation time. The proposed method is based on a multi-level multi-agent MAS-GiG model combined with three problems. First, constructing a path map to select the shortest path; second, dividing the space of the experimental environment into smaller areas for efficient management, monitoring, and guiding evacuation; the third, adjusting the speed to handle collision issues and maintain distance between two or more groups of evacuees while moving. We extend our previous study by establishing groups based on the location of passengers and using a MAS-GiG model to guide evacuation. We compare the proposed method with our previous method to provide specific evaluations for the research and research in the future. We tested two methods in the departure hall, first floor, Danang International Airport, Vietnam.

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In this paper, we propose a method to solve the optimization problem in an emergency evacuation. Specifically, when passengers are waiting for their flight in the lounge and a fire breaks out. How to evacuate all passengers to a safe place with the minimum total evacuation time? To solve the problem, we propose a method based on the multi-agent multi-level model MAS-GiG [1], combined with the shortest path algorithm to guide passengers to evacuate to a safe place. Additionally, we address issues that arise during the evacuation process, such as reducing the speed of groups when two or more groups collide, and changing the evacuation plan when the routes to the exit are blocked. We compare the proposed method with the method in [2] to provide specific evaluations and future research directions. The testing environment is the departure hall, 1st floor of Danang International Airport.