This paper proposes an algorithm that efficiently handles the management of emergency vehicles in a congestion area. The proposed approach utilizes the Dijkstra algorithm to calculate the shortest possible path for the emergency vehicle to reach its destination. The proposed approach uses smart detectors to monitor and manage real-time traffic data. Aside from traffic flow understanding, detectors can track vehicles IDs and prioritize emergency vehicles. The paper introduces a flexible, adaptive, distributed traffic control system that efficiently processes data collected from smart detectors to control traffic signals in a way that minimizes emergency vehicle response time. Experimental results show that our proposed approach outperforms the state-of- the-art of the average response time and the routing of emergency vehicles in a congestion area.