Integrated modeling and control of urban road traffic networks
Urban freeway is the aorta of urban traffic, but in recent years, traffic congestion has become prominent increasingly, which seriously affects the urban traffic efficiency. Based on the analysis of the traffic flow characteristic of urban freeway and streets system, the macroscopic traffic flow model integrated urban freeway with streets system is established, by using store-and-forward model to describe the evolution law of states for the two systems. Then on this basis, the green ratio adaptive control method based on linear quadratic optimal control is put forward. Finally, the VISSIM traffic simulation software is used to simulate and compare with the fixed-time signal control. The simulation results show the feasibility and effectiveness of the method.