This dissertation looks at the formulation and development of solution algorithms for the consistent anticipatory route guidance generation (RGG) problem. It proposes a framework for the problem, including a set of time-dependent variables and their relationships. Variables are network conditions, path splits and guidance messages. Relationships are the network loading map, the guidance map, and the routing map. The basic relationships can be combined into three alternative composite maps that model a guidance problem. Consistent guidance corresponds to a fixed point of a composite map. Numerical methods for fixed point computation are examined, with focus on approaches that are rigorous and applicable to large-scale problems. A guidance- oriented dynamic traffic simulator is then developed for experimenting with RGG solution methods.

  • Supplemental Notes:
    • Publication Date: 2000. MIT Libraries, Cambridge MA. Remarks: Thesis (Ph. D.)--Massachusetts Institute of Technology 2000. Abstract also in: Dissertation abstracts international. B. Vol. 62, no. 6 (December 2001), p. 2837. Link to UMI is for abstract only; full dissertation available only by purchase from MIT. Format: website
  • Corporate Authors:

    Massachusetts Institute of Technology

    Department of Civil Engineering, 77 Massachusetts Avenue
    Cambridge, MA  United States  02139
  • Authors:
    • Bottom, Jon Alan
  • Publication Date: 2000


  • English

Media Info

  • Pagination: 251 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00962337
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Sep 2 2003 12:00AM