Research on Design and Algorithm of Fuzzy Controller in Intelligence Transportation System

The intelligent transportation is one of current scientific research hot spots. This article takes the fuzzy control as a foundation, analyzes the problem of intersection traffic signal control, proposes the multiple phase fuzzy control algorithm of intersection signal period and the design of fuzzy controller. It takes motorcade´s length and the next phase difference of motorcade length as the fuzzy control variable, according to the fuzzy rule, synthesisly considered the assigned green time, thus forms one real-time, accurate, the highly effective comprehensive transportation system. The simulation result indicated that this plan approaches human´s decision-making process, surpassed the timed control, can effectively alleviate the jam of intersection