ADVANCE TRAFFIC CONTROL AND PLANNING.

Traffic control can be regarded as a multi agent application in which car-agents and traffic-light-agents need to coordinate with each other to optimize the traffic flow and to avoid congestions. It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. Traffic lights play an important role in the traffic management. The existing traffic lights follow the predetermined sequence. So these lights are called static traffic lights. These traffic lights are not capable to count the number of vehicles and the priority of the vehicles on intersection point. As a result some vehicles have to wait even there is no traffic on the other side. The vehicles like Ambulance and Fire Brigade are also stuck in traffic and waste their valuable time. In this paper, we propose an adaptive traffic light control algorithm that adjusts both the sequence and length of traffic lights in accordance with the real time traffic detected. Our algorithm considers a number of traffic factors such as traffic volume, waiting time, vehicle density, etc. and system also provides quality of service to Emergency vehicles.