ABSTRACT
Vehicular ad-hoc “networks” have wide applications in public healthcare systems. Reducing the “travel time of emergency vehicles” like ambulance increases the chance of survival of serious patients. In urban areas, there is a chance of blockage of communicating roads due to construction works, accidents, strikes, storms, etc. The paper proposes a fuzzy logic-based emergency vehicle routing technique so as to provide smart medical services on emergency basis to serious patients. After detecting crowd at a particular location by applying a fuzzy logic-based inference system, the driver of emergency vehicle is routed with a shortest path to the nearest healthcare center. This is accomplished by combining intelligent communication systems with global positioning system, wireless sensor network, and a computing device. The proposed technique can be implemented in routing an emergency vehicle in smart cities, and as a result smart medical services can be provided on emergency basis to serious patients to save precious lives.
