OPTIMIZATION METHODS FOR REAL-TIME TRAFFIC CONTROL

In this dissertation, the author describes the development, testing and evaluation of three optimization techniques for real-time traffic control. These include: the Quasi-Newton methodology, multivariate genetic algorithms, and univariate genetic algorithms. These techniques are tested and evaluated in different traffic scenarios including varying traffic flow conditions and different phase sequencing alternatives. Total stopped delays is the criterion used as the measure of effectiveness (MOE. Minimization of total stopped delay is the criterion used for the optimization process, and the effectiveness of each optimization technique is compared on the basis of percent improvement in MOE.

  • Supplemental Notes:
    • Publication Date: 1995 UMI Company, Ann Arbor MI Remarks: Thesis (Ph. D.)--University of Pittsburgh, 1995
  • Corporate Authors:

    University of Pittsburgh

    Department of Electrical and Computer Engineering
    Pittsburgh, PA  United States  15261
  • Authors:
    • Memon, Ghulam Qadir
  • Publication Date: 1995

Language

  • English

Media Info

  • Pagination: xxi, 154 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00793382
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: 96-13812 (UMI Order #)
  • Files: PATH
  • Created Date: Jun 13 2000 12:00AM