Improving emergency response in the era of ADAS vehicles in the Smart City

Management of emergency vehicles can be fostered within a Smart City, i.e. an urban environment in which many IoT devices are orchestrated by distributed intelligence able to suggest road users the best course action different traffic situations. By extending MATSim (Multi-Agent Transport Simulation Software), we design and test appropriate mitigation strategies when accidents occur existing area augmented with V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure) capabilities Advanced Driving Assisted cars (ADAS). Further, propose congestion models related mechanisms for improving necessary time respond accidents.