Paper Details: Downloads: 336
Serial Number: P1110547002
Title: Traffic Signal Control using Adaptive Neural-Fuzzy Inference System
Authors: Wei Cheng XuemingLi Xiaolan Liu
Abstract: This paper presents for an isolated four-approach intersection a traffic signal control method based on adaptive neural-fuzzy inference system. Which could make adjustments to signal timing in response to traffic changes. The “urgency degree”, “stop degree” term, which can describe the different users’ demands for green time are used in decision-making by which strategy of signal timing can be determined. Using three levels module based on adaptive neural-fuzzy inference system (ANFIS), it could be determined whether to extend or terminate the current signal phase and select the sequences of phases. Simulation results show that the fuzzy controller has the ability to adjust its signal timing in response to changing traffic conditions on a real-time basis, and the proposed controller produces lower vehicle delays than the traffic-actuated controller.
Keywords: Traffic Signal Control, Adaptive Neural-fuzzy, Inference system, Isolated Intersection
Journal/Conference: International Journal of Automatic Control and System Engineering
Volume:
Issue:
Submission Date: 10/1/2005 12:00:00 AM
Review Date: 11/1/2005 12:00:00 AM
Publishing Date: 12/1/2005 12:00:00 AM
Article Downloads: 336
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