Intelligent control strategy of traffic light at urban intersection

Abstract

Urban traffic is closely bound up with daily life, and traffic light is set to let vehicles pass an intersection periodically in certain way. With the sprawl of modern city, its traffic system is getting so complex that conventional way can't improve its performance any more. So, based on system control theory, this paper makes traffic light control system optimized in three organic steps: first, adopts circular coloring method to determine the optimal phase number; then assigns proper green light time to each phase by fuzzy control rule; finally, improves current scheme on a 3- layered feedforward neural network. Simulation result demonstrates the effectiveness of this method.