The design of improved adaptive variable universe traffic fuzzy controller

Adaptive fuzzy inference system (AFIS) approach is utilized to combine fuzzy logic with variable universe, according to the input/output data, so that AFIS automatically adjusts fuzzy rules and membership functions based on state synthesis to fit sampling data. The article presents a two improved adaptive fuzzy traffic controller for the intersection. On the basis of the phase saturation, the fuzzy controller determines the next phase. Then we can get different external time for current phase by the saturation of current and next phases. The simulation result shows that it is better than the traditional controllers.