Rules Self-Adaptive Control System for Urban Traffic Signal Based on Genetic Study Classification Algorithm

In this paper rules adaptive control system based on genetic study classification algorithm is put forward in order to solve the traffic signal's separated, complex, non-linear features and prevent failure of the control rules in urban regional coordination traffic signal control system. In this study, we build the self-organization model by fluid dynamics, and get the control parameters and environment news to genetic classifier. Then, the system can classify and acquire good rules because of its powerful search capabilities in genetic algorithm and advantage in finding regulation from numerous data. Finally, aiming at the rules failure caused by urban construction or road alteration, a traffic platform is built by VC++ to simulate the actual traffic control. From the results, the system shows rules adaptive effect for environmental changes.