Research on the Path Planning Algorithm for Emergency Evacuation in the Building Based on Ant Colony Algorithm

In recent years, China has witnessed rapid economic development and rapid population growth. Meanwhile, the population density of cities has continued to increase. Public places in cities are often overcrowded and major accidents occur more frequently. When an emergency occurs, it is of great significance to provide effective evacuation guidance to the on-site people, so that reduce the number of casualties and property losses. This paper first selects the ant colony algorithm (ACO) for research. The ant colony algorithm and the principle of using grid method to generate the simulated map are introduced in detail. According to these principles and standards, the specific environment is modeled, the simulated map is generated, and the ant colony algorithm is used to realize the path planning on the simulated map.