The hybrid optimization problem is formulated to provide a general theoretical framework for the analysis of a class of traffic control problems which takes into account the role of individual drivers as independent decisionmakers. Different behavioral models for flow distribution are examined. Necessary conditions for this problem are derived, and a physical interpretation of these conditions is provided. Possible directions for the development of algorithms applicable for solving large-scale hybrid optimization problems are proposed. A procedure for computing the upper and lower bounds of the optimal cost of the hybrid optimization problem is outlined.

  • Corporate Authors:

    Massachusetts Institute of Technology

    Laboratory for Information and Decision Systems
    Cambridge, MA  United States  01239

    Transportation Systems Center

    55 Broadway, Kendall Square
    Cambridge, MA  United States  02142
  • Authors:
    • Tan, H N
    • Gershwin, S B
    • Athans, M
  • Publication Date: 1979-4

Media Info

  • Pagination: 123 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00198264
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: DOT-TSC-RSPA-79-7 Final Rpt.
  • Contract Numbers: DOT-TSC-1456
  • Files: NTIS, TRIS
  • Created Date: Sep 29 1979 12:00AM