Main Article Content
Unwanted activities on roads, such as incidents and increased site visitors jams, can reason human lives and economic loss. For environment friendly incident management, it is imperative to send Emergency Vehicles (EVs) to the incident vicinity as rapidly as possible. To decrease incidence clearance time, a number of approaches exist to furnish a clear pathway to EVs mostly outfitted with RFID sensors in the city areas. However, they neither assign priority to the EVs based totally on the kind and severity of an incident nor consider the impact on different on-road traffic. To tackle this issue, in this paper, we introduce an Emergency Vehicle Priority System (EVPS) with the aid of finding out the precedence degree of an EV primarily based on the type and the severity of an incident, and estimating the number of vital sign interventions whilst thinking about the influence of those interventions on the site visitors in the roads surrounding the EV’s tour path. We current how EVPS determines the priority code and a new algorithm to estimate the variety of green signal interventions to acquire the quickest incident response while concomitantly lowering effect on others. A simulation mannequin is developed in Simulation of Urban Mobility (SUMO) the usage of the real site visitor’s information of Melbourne, Australia, captured by way of various sensors. Results exhibit that our gadget recommends appropriate number of intervention that can minimize emergency response time significantly.