FL-FN based traffic signal control

In this paper, a traffic signal control method based on fuzzy logic (FL), fuzzy-neuro (FN) for an isolated four approaches intersection with through and left-turning movements is presented. This method has the adaptive signal tinting ability, and can make adjustments to signal tinting in response to observed changes. The "urgency degree" term, which can describe the different user's demand for green time is used in decision-making by which strategy of signal tinting can be determined. Using fuzzy logic controller, we can determine whether to extend or terminate the current signal phase and select the sequences of phases. In this paper, a method based on fuzzy-neuro can be used to predict traffic parameters used in fuzzy logic controller. Simulation results show that the our proposed has the ability to adjust its signal timing in response to changing traffic conditions on a real-time basis, and our proposed controller produces lower vehicle delays and percentage of stopped vehicles than the traffic actuated controller.

I. Introduction

Traffic signal is an essential element to manage the transportation network. A number of traffic signal control methods have been developed in the past. Recently, a major research focus has been on application of artificial intelligence techniques such as expert systems, fuzzy logic, neural networks and genetic algorithms for intersection signal control.