A Neural Network Approach for Link Delay Prediction

Traffic delay modeling has been an interesting area of research and plenty of work is presented for delay estimation. Traffic delay is the severe problem in developing countries as well as in developed countries, caused by traffic congestion. Several factors (traffic volume, green time, weather conditions, road conditions, visibility) influenced the delays hence must be considered while estimating the delay. Prediction of traffic delay is an essential task for optimization of traffic flow on the road network. In this paper, traffic delay is predicted using Artificial Neural Networks (AANs) approach as it is one of the best methods for modeling and prediction. The results exhibit that the proposed methods may be used as a propitious approach in traffic delay prediction.