Vehicular Delay Modeling at Signalized Intersections with Fuzzy Logic and Artificial Neural Networks

Delaying at signalized intersections is an important point for controlling traffic movement in a city. In this project ,we designate the vehicular delay model at signalized intersections by using fuzzy logic and artificial neural Networks. Our model is compared with conventional delay calculation methods and another project that is about delaying at signalized intersections.