Visualization of Crowd Contamination Simulations Using Immersive Virtual Reality

Smart cities can generate a lot of useful data for analyzing behavior and infrastructures, helping with urban planning. However, the applications found are often limited to desktop viewing only, which can hinder or restrict data analysis. This work proposes an immersive data visualization of the population of medical centers to assist in the analysis and development of new strategies to deal with overcrowding situations. The prototype allows the visualization of crowd data located in places of interest on top of a 3D map. The user can view the number of people present at the location at the current stage of the simulation or over time. To test the prototype, data from an infectious disease simulator was used, called LODUS. The results showed that the application has potential for visualizing this type of data.