The SAFECITI project proposes the creation of a simulation system for Police intelligence analysts to predict the behaviour of crowds in urban environments under specific threats or stresses (turmoil, violence, panic, catastrophes or terrorism) in order to train and develop better safety plans, and tactic operations.
This platform will be designed both as a simulation platform for training purposes and as a predictive tool for operational use. The platform will also include performance measurement tools based on safety goals (people and infrastructure damage) to measure the skills of the analyst. All the simulations will be stored in a database that will work as an historic repository, but more interestingly, as a large set of useful data that will be re-analyzed by artificial intelligence algorithms to create predictive models. The main goal of this predictive model will be the creation of a virtual analyst that is able to recommend actions based on the enriched analysis of hundreds or thousands of simulations.