Freeway Traffic Control Using Iterative Learning Control-Based Ramp Metering and Speed Signaling

This paper presents an iterative learning control (ILC) approach for freeway density control in a ramp metering and speed regulated environment. The ILC approach is shown to improve traffic performance significantly by guaranteeing asymptotic convergence of traffic density to the desired density, despite the presence of any system uncertainties or exogenous traffic perturbations. The ILC approach also requires less prior modeling knowledge in the control system design.

  • Availability:
  • Authors:
    • Hou, Zhongsheng
    • Xu, Jian-Xin
    • Zhong, Hongwei
  • Publication Date: 2007-3


  • English

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Filing Info

  • Accession Number: 01044866
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS
  • Created Date: Mar 28 2007 2:29PM