ESTIMATION OF PARAMETERS IN MODELS FOR TRAFFIC PREDICTION: A NON-LINEAR REGRESSION APPROACH

This paper contains some suggestions on how to use traffic counts on links in networks and non-linear regression in order to estimate parameters in models for traffic prediction, for example gravity-distribution models. The suggested method has the advantage that it is straight-forward and does not require an O-D survey which is usually very expensive.(a) /TRRL/

  • Corporate Authors:

    Pergamon Press, Incorporated

    Maxwell House, Fairview Park
    Elmsford, NY  United States  10523
  • Authors:
    • Hogberg, P
  • Publication Date: 1976-8

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 263-2651
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00149029
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Report/Paper Numbers: Analytic
  • Files: ITRD, TRIS
  • Created Date: Jun 17 1977 12:00AM