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Nonminimal state space approach to multivariable ramp metering control of motorway bottlenecks

Taylor, C. James and Young, Peter C. and Chotai, Arunkumar and Whittaker, Joseph (1998) Nonminimal state space approach to multivariable ramp metering control of motorway bottlenecks. IEE Proceedings-Control Theory and Applications, 145 (6). pp. 568-574. ISSN 1350-2379

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    Abstract

    The paper discusses the automatic control of motorway traffic flows utilising ramp metering, i.e. traffic lights on the on-ramp entrances. A multivariable ramp metering system is developed, based on the nonminimal state space (NMSS) approach to control system design using adaptive proportional-integral-plus, linear quadratic (PIP–LQ) optimal controllers. The controller is evaluated on a nonlinear statistical traffic model (STM) simulation of the Amsterdam motorway ring road near the Coen Tunnel.

    Item Type: Article
    Journal or Publication Title: IEE Proceedings-Control Theory and Applications
    Additional Information: "©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
    Uncontrolled Keywords: Motorway traffic flow ; Automatic control ; Ramp metering ; Non-minimal state space ; Proportional integral plus ; Linear quadratic
    Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
    Departments: Faculty of Science and Technology > Lancaster Environment Centre
    Faculty of Science and Technology > Engineering
    Faculty of Science and Technology > Mathematics and Statistics
    ID Code: 19480
    Deposited By: ep_ss_importer
    Deposited On: 12 Nov 2008 14:16
    Refereed?: Yes
    Published?: Published
    Last Modified: 24 Jan 2014 05:14
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/19480

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