As one of the largest museums in the world, the Louvre Museum has a large number of tourists every day.Solutions to safe evacuation issues are becoming more and more needed.This paper mainly constructs a simple emergency evacuation model based on improved adaptive ant colony algorithm for the Louvre.In the process of evacuation, people can be regarded as clusters with common characteristics due to the interaction of people. This paper uses cellular automata and real-time information to determine people's evacuation behavior.The model can be used to predict and analyze the evacuation characteristics of buildings, and the results are in line with the actual situation, with good reliability and stability.

Qian Cheng, Emergency Evacuation Model Based on Improved Adaptive ant Colony Algorithm. Academic Journal of Computing & Information Science (2019) Vol. 2: 70-73. https://doi.org/10.25236/AJCIS.010019.

[1] Yanbin Han and Hong Liu, “Application Research of a Path Selection Model Based on Evacuation Path Set in Crowd Evacuation Simulation”, Chinese Journal of Computers, Vol 41 No.12 Dec 2018.
[2] Chao Yi, “Research on Emergency Evacuation Simulation Model of Large Sports Venues”, Electronic Technology.