Smart Traffic System using Traffic ow models

In today's world, one of the biggest issues faced by transportation is related to roadway traffic. While developments are focused on improving the vehicles and making them more efficient, less focus is given to improve the infrastructure and management of the traffic system on intersections like crossroads and solving the problem of traffic Congestion. The existing Systems of the traffic management system at junctions are very inefficient as traffic is static in nature. Static nature means the traffic control system/management system is independent of features that changes with time. There are some systems proposed earlier which makes the system more efficient but they are not efficient as they are not fully dynamic. The system proposed here works on the dynamic behaviour of traffic in order to reduce the traffic congestion which is dependent on real-time factors which are dynamic in nature. Another important feature is priority scheduling for Emergencies/Special Vehicles like Ambulance is also implemented. This method uses computer vision like vehicle detection and vehicle classification for implementing the same. The aim of the proposed system is to help in the reduction of traffic jamming and make the transportation time-efficient at a cost-effective implementation.