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Improvement in Traffic Light System with Ant Colony Optimization Technique

It is easy to control traffic light system on highways but difficult in urban areas. This problem can be solved by decreasing the stoppage time at the junction to zero, instead of broaden the available traffic network. In this paper, different tools or algorithm are used and everyone has its own contribution in solving the traffic light system. Here sensors are used to control the speed of cars in such a way that, as soon as drivers come across a junction, they will find green light. After that control cycles are generated with the duration of green and red light, such that vehicles move from source to destination without any stoppage at red light. In case of busy hours, it is necessary to give preference to the traffic light which is done with the help of DCOP protocol. Sometimes roads are blocked due to accident on the road, modified neural network map is send to the drivers by using text or internet and then driver change the route by ant based routing algorithm. The purpose of this paper is to develop a systematic route for the vehicles by using above technique, so that they achieve the target quickly as well as successfully.