Evacuate the Crowd in the Louvre

Ying Zhang, Wenjing Ma, Zhihang Yue, HaoYuan

School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China

Abstract: Taking the Louvre museum, this paper studies a model based on Ant Colony Algorithm, which can adapt to the emergency evacuation of large public places. Further, we improved the model by analyzing po-tential bottleneck factors and enriching path pheromone and heuristic function of ant colony model. We try to change the model parameters to adjust the model. The result of the analysis model show agreement with the actual result.

Keywords: Louvre museum; Ant colony algorithm; Adaptive; Evacuation path