Simulating Crowd Movements During Emergency Fire Situations: Mexico City Airport Simulation Case

Abstract

Flying is the first choice when traveling long distances. With several options available for passengers, it is noticed an increase of passengers every year, then airports become more crowded, but, how well prepared are in case of a fire emergency? In this paper, we research a fire situation forcing to evacuate Gate 75 at Mexico City airport. Using Menge crowd simulator movement engine, we use four classes of agents to simulate different passenger movements as well as different moving speeds based on sex and complexion. In our results bottlenecks were detected and improvements to gate layout were suggested. Then, another simulation set was run with the proposed changes to determine how affects the evacuation times. In order to have a successful change, it most improves at least 10% evacuation time, without changing agents’ classes, cardinality or speed.