Fuzzy Neural Network Control Technique and Its Application in a Complex Intersection

Abstract For a lack of complex intersection effective control method, a novel single intersection intelligent control technique was presented. Signal lamp setting, phase division, pedestrian press-button response, signal lamp advance-off and late-on were discussed in detail. Being a function of traffic flow saturation degree the cycle time was optimized by one fuzzy neural network, and the variable splits were adjusted based on historical and real-time traffic information. The goal was to make the intersection expedite, vehicles stop rate shortest and average vehicle delay time less. However, the crossing-crosswalk safety of pedestrian had to be assured firstly. This control technique has been used successfully in the intersection of No. 9 road and No. 12 road in Xiasha economic technical development area Hangzhou, China, and the application results have shown to be very good.