Research on Personnel Evacuation Modeling in Rectangular Rooms Based on Gradient Boosting Decision Trees
In the event of an emergency,the rapid and orderly evacuation of people within a specific area plays a crucial role in ensuring the safety of people's lives.This paper proposes a personnel evacuation model for square rooms based on the Gradient Boosting Decision Tree(GBDT)method.The model is trained using existing experimental data on evacuation to calculate the proportion of influence of various factors on evacuation speed.A two-dimensional cellular automata is used to simulate crowd evacuation routes,analyzing the spatial distribution of personnel at different moments under different scenarios.Based on the parameters obtained,a relationship curve simulation model between evacuation speed and time is established.Finally,according to the experimental parameters and the model,the pedestrian movement rules are continuously optimized and adjusted to establish an evacuation system that can be sustainably improved.The modeling study conducted in this paper is of great reference significance and guidance for evacuating personnel from square rooms.