Model Free Adaptive Perimeter Control for Two-Region Urban Traffic System with Input and Output Constraints

Abstract

Recent studies on urban traffic systems have shown that there exists a well-defined macroscopic fundamental diagram (MFD) in well-partitioned homogenous regions, which depicts a unimodal and low-scatter relationship between accumulation and trip completion flow. In this paper, a new type of data driven control method called model free adaptive control with input and output constraints (IOC-MFAC) is utilized for perimeter control for two-region urban traffic system, using MFD to choose the desired number of vehicles and generate the output data of the urban traffic system. Different from the protype scheme of MFAC, in this work, the constraints of perimeter control input and the urban traffic system’s output are considered. A key advantage of the proposed method is that only the input and output data of the urban traffic system is needed to design the perimeter controller. The effectiveness of IOC-MFAC method is tested via numerical simulation, and the result shows that it works better than some other commonly used perimeter control strategies.