Print Email Facebook Twitter Linear-Quadratic Model Predictive Control for Urban Traffic Networks Title Linear-Quadratic Model Predictive Control for Urban Traffic Networks Author Le, T. Vu, H.L. Vo, B. Hoogendoorn, S.P. Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2013-06-07 Abstract Advancements in the efficiency, quality and manufacturability of sensing and communication systems are driving the field of intelligent transport systems (ITS) into the twenty first century. One key aspect of ITS is the need for efficient and robust integrated network management of urban traffic networks. This paper presents a general model predictive control framework for both centralized traffic signal and route guidance systems aiming to minimize network congestion. Our novel model explicitly captures both non-zero travel time and spill-back constraints while remaining linear and thus generally tractable with quadratic costs. The end result is a central control scheme that may be realized for large urban networks containing thousands of sensors and actuators. We demonstrate the essences of our model and controller through a detailed mathematical description coupled with simulation results of specific scenarios. We show that using a central scheme such as ours may reduce the congestion inside the network by up to half while still achieving better throughput compared to that of other conventional control schemes. Subject model predictive controlintelligent transport systemcongestion control To reference this document use: http://resolver.tudelft.nl/uuid:fa761540-9b8e-4224-98f0-dbb06fc4f08d DOI https://doi.org/10.1016/j.sbspro.2013.05.028 Publisher Elsevier ISSN 1877-0428 Source Procedia - Social and Behavioral Sciences, 80, 2013 Part of collection Institutional Repository Document type journal article Rights © 2013 The Author(s) Files PDF Hoogendoorn_2013.pdf 303.71 KB Close viewer /islandora/object/uuid:fa761540-9b8e-4224-98f0-dbb06fc4f08d/datastream/OBJ/view