Multiphase Adaptive Fuzzy Control for Intelligent Transportation System

Combing the traffic flows distribution of intersections in intelligent transportation system, the vehicle queues of the controlled phase and the neighboring phases, this paper proposes a multiphase adaptive fuzzy control algorithm and a designing scheme, and develops the adaptive algorithm of the fuzzy controller to modify the fuzzy rules in real-time and decides the allocation of green time, finally forms a effective accurate and safe transportation system. The simulation shows that the proposed fuzzy control algorithm is more effective to alleviate the traffic conditions