Urban traffic signal two-stage combination fuzzy control and Paramics simulation

In the light of more traffic status variables are considered under low traffic flow in traffic intensity-based two-stage fuzzy control for urban traffic signals, thus leading to the inefficiency of traffic states weakening at isolated intersections. This paper introduces a two-stage combination fuzzy optimal controller for traffic signals at urban isolated intersections: the proposed controller adopts 0-1 combination; depending on the traffic status at intersections, the combination of variables of traffic status of fuzzy controller's inputs will be determined; and the single-stage controller is applied under low traffic flow, while the traffic intensity-based two-stage fuzzy controller is used under medium or high traffic flow. Experiment is carried on a typical urban isolated intersection and performance of proposed model and algorithm is validated via Paramics. Furthermore, four kinds of control strategies are extensively simulated on different simulations scenes. Simulation results indicate that the proposed controller is able to choose status variables based on traffic status features at isolated intersections and the signal strategy derived from the proposed controller is more effective.