Active Control Method of Traffic Signal Based on Parallel Control Theory

Abstract

Aiming at the deficiencies of the existing intersection adaptive control methods in terms of the control scheme initiative and the interaction level between simulation and the actual system, this paper proposes a traffic signal active control method based on the parallel control theory. The method constructs a set of artificial systems parallel to the actual traffic signal control system, designs a traffic flow prediction and simulation module on the artificial system. At the same time, a linear optimization model of traffic signal is constructed in the actual system. Through the two sets of parallel systems, the evaluation of the operation effect and the generation of comprehensive optimization direction of the signal scheme under the predicted traffic state and historical traffic state are realized. The application of the parallel control system in traffic signal control is finally realized, and the experimental results show that this method can effectively reduce the trip delay, especially in the time when the traffic flow fluctuation is obvious.