关键词: 可视分析, 传播扩散, ABM模型, 轨迹仿真

Abstract: In recent years, respiratory infectious diseases frequently broke out in crowded places. How to restore the transmission path of the virus between people became a key issue in epidemic prevention and control. However, existing methods had problems such as the difficulty in describing the movement trajectory of people in crowded places and the difficulty in simulating the spread of the virus caused by contact between people. To this end, a virus transmission visual analysis system based on agent modeling was proposed to dynamically simulate and visualize the virus transmission process and show individual contact relationships and transmission paths. First, a multi-head rapidly-exploring random tree algorithm was combined with mobile statistical data to generate crowd movement trajectories that conformed to actual laws; secondly, by refining the contact rules of personnel and the virus diffusion mechanism, a transmission model based on agent modeling (ABM) was constructed to simulate the impact of crowd interaction on virus transmission. Case analysis showed that the virus transmission visual analysis system restored the contact relationship between people and the process of virus transmission, and the transmission link simulated by the system was highly similar to the actual link. The number of simulated cases was basically consistent with the actual number of cases, and the route generated by the multi-head rapidly-exploring random tree algorithm was real and efficient, which confirmed the decision support value of the system in the optimization of epidemic prevention and control strategies.

Key words: Visual analysis, diffusion, ABM model, trajectory simulation