Real Time Traffic Navigation System using Sensor Network

Now a days traffic is a very big issue in urban cities reaching to any place on time is getting difficult. On the other side, automatic traffic controlling a traffic light uses timer for every phase. Using electronic sensors is another way in order to detect vehicles, and produce signal that to this method the time is being wasted by a green light on an empty road. Traffic congestion also occurred while using the electronic sensors for controlling the traffic. All these drawbacks are supposed to be eliminated by using image processing. Traffic prediction systems are currently the most important techniques, as they can be wildly applied in different aspects . The Image based prediction system is very useful for the user who wants to avoid the traffic. This technique is easy to implement and works on matlab neural network toolkit. Given a set of past traffic data, a traffic prediction system is able to predict the future traffic conditions. However, the existing traffic prediction systems are hard to implement and are quite expensive. Hence, a Image -based traffic prediction system, which can be easily implemented by Matlab and operated on the internet. That is, the problem of the existing traffic prediction systems can be solved.