AN APPROACH FOR ESTIMATING AND UPDATING ORIGIN-DESTINATION MATRICES BASED ON TRAFFIC COUNTS PRESERVING PRIOR STRUCTURE

This paper addresses the problem of estimating and updating observed origin and destination (OD) matrices based on available link flow information by means of the non-linear programming formulation corresponding to the Augmented Lagrangian Function. Therefore, the paper estimates larger OD matrices in a faster way following an efficient algorithm that minimizes the amount of stored information required for solving large-size problems. A solution algorithm is provided, which has been completely developed and designed to be used within assignment commercial codes. The case of updating a trip matrix, from a home-based survey, of a real problem corresponding to an existing city is analyzed. For this application case two methodologies are reviewed, the first one does not incorporate either constraints related to the total number of trips, the zonal productions and attractions, or individual OD pairs; the second one takes them into account. The results obtained by the application of the method proposed, to a prior OD trip matrix, show huge differences with respect to the results yielded when the adjustment process does not limit the variations of the single terms (OD pairs) by lower and upper bounds.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0080442749
• Supplemental Notes:
  • Full conference proceedings available on CD-ROM. Title on CD-ROM provided as: 9th World Congress on Transport Research.
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Doblas, J
  • Benitez, F G
• Conference:
  • Selected Proceedings of the 9th World Conference on Transport Research
  • Location: Seoul, Korea
  • Date: 2001-7-22 to 2001-7-27
• Publication Date: 2001

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: 23p

Subject/Index Terms

• TRT Terms: Estimation theory; Matrices (Mathematics); Methodology; Nonlinear programming; Origin and destination; Traffic counts; Trip matrices; Variational inequalities
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00970700
• Record Type: Publication
• ISBN: 0080442749
• Files: TRIS
• Created Date: Mar 11 2004 12:00AM