Behavior-Based Simulation of Real-Time Crowd Evacuation

摘要

Emergency evacuation has many applications in computer animation, virtual reality, architecture planning, safety science, etc. However, current methods most focus on the agent-based modeling and simulation. These simulation results can not consider the human behavior fully and their reliabilities are doubtable. This paper presents a new method to simulate the large-scale crowds in real-time and verify the evacuation data in complex environment. Through analyzing the characteristics of human behavior in emergent condition, a mixed geometry-based ant colony evacuation model is firstly proposed. Then, many behaviors of human are considered to calculate the best evacuation path, including autonomous avoidance, human's warning time, and preferential path selecting. The experimental results show that it is an effective method to simulate large-scale crowds in real time, because the verification makes the simulation more reliable as well as making human behavior logical and the virtual scene realistic.