Behavior-based Simulation and Verification of Real-time Large-scale Evacuation
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 are not verified 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. Further, we compare and verify the time-varying features for evacuation in both simulated data and real statistical data, and we deduce the optical parameters and forecast the Emergency evacuation. The visualization for these simulation results under different simulating times and 3D walkthrough for large-scale evacuation are shown simultaneously. 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.
Large-scale evacuation verification real time rendering virtual analysis
国际会议
2011国际计算机辅助设计与图形学学术会议(CAD/Graphics 2011)
济南
英文
1-8
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）