Analytical Study and Simulation for Propagation of Alerts, Case of Emergency Vehicles in Smart Cities

This paper proposes methods and tools to support analysis and simulation of propagation of alerts in a city. Environmental modelling and monitoring is now a major framework for application of wireless sensor networks. Sound and visual alerts remain a major way to warn and prevent accidents in social life. This work combines a cellular segmentation of the city,representation of buildings and roads, representation of vehicle paths and cell behaviour that compute sound wave propagation with respect to space and time. As a First result, there is the possibility to evaluate nuisance from vehicles repetitively travelling with sirens along avenues. Coupling to smart cities sensing systems will allow a better control on trafic lights and management of autonomous intersections. This can help to prevent and reduce noise and accidents. In the context of smarts cities, cooperative sound detection can be associated to the development of new smart cars, and better rescue or police vehicles. High speed simulations with real time opportunities are obtained thanks to code generation for graphic accelerators.