AN INTEGRATED TRAFFIC RESPONSIVE RAMP CONTROL STRATEGY VIA NONLINEAR STATE FEEDBACK

Ramp metering has been an effective tool for combating freeway congestion, and past research has produced a variety of ramp metering algorithms. One particular approach based on the Linear Quadratic (LQ) theory is appealing because it is traffic responsive and robust. However, this approach is based on a linearized equation of the nonlinear traffic flow system, thus its performance is limited when traffic conditions deviate far from steady state. We propose here a nonlinear controller to overcome this problem. The nonlinear controller is realized by a series of neural networks, whose parameters can be obtained through nonlinear optimization. Preliminary traffic simulation results are presented and demonstrate the controller's potential effectiveness.

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  • Corporate Authors:

    University of California, Irvine

    Institute of Transportation Studies
    4000 Anteater Instruction and Research Building
    Irvine, CA  United States  92697
  • Authors:
    • Zhang, Hongli
    • Ritchie, S G
  • Publication Date: 1995-1

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00674288
  • Record Type: Publication
  • Report/Paper Numbers: UCI-ITS-WP-95-2
  • Files: TRIS
  • Created Date: Feb 16 1995 12:00AM