Design Of Machine Learning Real Time Urban Traffic Control Strategy

In this paper, a machine learning real time urban traffic control system is developed on the base of research on systems analysis of urban traffic and current situation of application of traffic control systems, which adapts to the traffic condition(mixed traffic flow) of our country. By means of intelligent control theory, corresponding control algorithm and coordinative control strategies are proposed. The idea and the structure of designing for control system are explained. Simulation results are quite satisfactory and show that our model and algorithm are accurate enough to solve real-time traffic control problems, the system can also be applied in practical area.