Vehicle-following modeling utilizing neuro-fuzzy networks

It is difficult to describe the driver's behavior when following a leading vehicle, because of his individual characteristics, which give different reaction times and even decisions. It is proven that Artificial Neural Networks and Fuzzy Techniques are suitable and very efficient solutions for this kind of problems, which involve a certain degree of uncertainty. This paper designs a neuro-fuzzy controller with two inputs which are evaluated through fuzzy techniques and eventually is introduced in a control system whose purpose is to assist the driver in maintaining the safety distance towards the vehicle ahead.