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2007-08 Seminars

Model Predictive Control for  Traffic Networks

Eduardo Camponagara
Professor, Department of Automation and Systems Engineering
Federal University of Santa Catarina, Brazil

Abstract
A method for controlling urban traffic networks is proposed. The method uses a traffic-responsive strategy. A store-and-forward traffic flow model and linear-quadratic theory are applied to compute network-wide control signals, at the cost of sub-optimality for not considering constrains explicitly. In order to attain an improved controller, a model predictive control (MPC) approach is designed. Simulated results for a sample network are shown. The results are also compared through a mean queue criterion. Finally, conclusions are drawn and future work is outlined.