Multi-Phase Fuzzy Neural Control with Transit-Priority for Signalized Intersection

This paper proposes a transit-priority signal control method for urban intersection using fuzzy neural techniques. In order to reduce the delay of buses and passengers, a changeable-phase-order method is proposed. The phase with more passengers is preferential to be selected as the next phase by the end of current phase. The green increase time of current phase is inferred by a fuzzy controller which contains two inputs: the vehicles number of current phase and next phase. The fuzzy controller is implemented by a multi-layer neural network. Compared with the traditional fuzzy control method and fixed-time control method, Simulation investigations demonstrate the efficiency of the proposed approach.