Visualization and analysis of interacting occurences in a smart city

New information and communication technologies enable a better management of the available resources in a smart city. Leaders need tools to analyze data for better decisions, anticipate problems and resolve them proactively. In this context, this article proposes a simulation tool to analyze the interaction of typical cities occurrences like criminal and police. The information of both occurrences, including their densities, are inserted and visualized on a city map. Each record is marked on the GPS point where it happened. From these inputs data, the interactions are modeled by Voronoi Diagrams. The occurrences change their position according to the size area of the opposite event. In this way, crimes runway from police and police catch crimes occurrences. As results, we show that a large increase of police actions will not influence quantitatively in the reduction of criminal occurrences out of a critical zone.