Automated Traffic Management Handling Traffic Congestions

Today, the number of vehicles on the road is drastically growing and thus, the existing traffic arrangement method is unable to adequately address traffic congestion issues, particularly at intersections and four-way intersections. High Priority Vehicles (HPV) get caught in traffic as a result of traffic congestion, causing delays in their emergency services. This paper provides a solution addressing the challenge of traffic congestion to supply priority vehicles with fast movement to provide timely transportation and reaction with an automated intelligent traffic management system that can modify paths and decisions itself based on vehicle density and emergency priority with the use of deep learning algorithms.