A distributed fuzzy system for dangerous events real-time alerting

In recent years, several dangerous events (such as terrorism, violent crimes, explosions) happened across the globe. In some cases, some events simultaneously occurred in different places in the same city. The primary method used for alerting authorities in these situations is the phone call of people that are near the location of the event. Commonly, in such case, people get excited phone calls that make complicated the work of the operator that needs to understand relevant information such as the location of the event, the number of individuals that are involved and so on. Moreover may also happen that scared or injured people are not able to communicate. But in these cases, rapid responses are fundamental to save human lives and to stop the criminal action. The pervasive use of powerful mobile devices embedding several kinds of sensors and providing great computational capabilities gives the technological support for developing more complex applications. In this paper, we propose a distributed fuzzy system that can infer in real-time critical situations by analysing data gathered from user's smart-phones about the environment and the individual.