Dynamic Traffic Signal Phase Sequencing for an Isolated Intersection Using ANFIS
Automation, Control and Intelligent Systems
Volume 2, Issue 2, April 2014, Pages: 21-26
Received: Mar. 20, 2014;
Accepted: Apr. 10, 2014;
Published: May 20, 2014
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Kingsley Monday Udofia, Department of Elect/Elect/Computer Engineering, University of Uyo, Uyo, Nigeria
Joy Omoavowere Emagbetere, Department of Electrical/Electronic Engineering, University of Benin, Benin City, Nigeria
Frederick Obataimen Edeko, Department of Electrical/Electronic Engineering, University of Benin, Benin City, Nigeria
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This paper presents a traffic signal phase sequencing using adaptive neuro-fuzzy inference system (ANFIS) technique. The system is designed to emulate traffic expert on the selection of the appropriate phase to be given right-of-way at an isolated intersection based on the prevailing traffic situation. Inputs (queuelength and waiting time of vehicles) from traffic detectors are used to determine the selection of the next green phase. We evaluated the developed model for five different common traffic scenarios using MATLAB. The results obtained indicates that the developed model adaptively and effectively selects a phase to be given next green signal after considering the traffic situation and the nature of the intersection in question.
Adaptive, Neuro-Fuzzy Inference System, Phase Sequencing, Vehicle Traffic Control, Isolated Intersection
To cite this article
Kingsley Monday Udofia,
Joy Omoavowere Emagbetere,
Frederick Obataimen Edeko,
Dynamic Traffic Signal Phase Sequencing for an Isolated Intersection Using ANFIS, Automation, Control and Intelligent Systems.
Vol. 2, No. 2,
2014, pp. 21-26.
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