SIMULTANEOUS ESTIMATION OF AN ORIGIN-DESTINATION MATRIX AND LINK CHOICE PROPORTIONS USING TRAFFIC COUNTS

This paper proposes a procedure for the simultaneous estimation of an origin-destination (OD) matrix and link choice proportions from OD survey data and traffic counts for a congested network. Recognizing that link choice proportions in a network change with traffic conditions, and that the dispersion parameter of the route choice model should be updated for a current data set, this procedure performs statistical estimation and traffic assignment alternatively until convergence in order to obtain the best estimates for both the OD matrix and link choice proportions, which are consistent with the survey data and traffic counts. Results from a numerical study using a hypothetical network show that a model allowing the dispersion parameter to be estimated simultaneously with an OD matrix from the observed data performs better than the model with a fixed predetermined dispersion parameter. The proposed model also is applied to the Tuen Mun Corridor network in Hong Kong, and a reasonable estimate of the dispersion parameter for this network is obtained. The proposed algorithm seems quite robust towards inaccuracies in the survey data and in the number of observed links used.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Corporate Authors:

  Elsevier

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  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Lo, H-P
  • Chan, C-P
• Publication Date: 2003-11

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 771-788
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 37
  • Issue Number: 9
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Choice models; Dispersion (Statistics); Links (Networks); Networks; Origin and destination; Route choice; Statistical analysis; Traffic assignment; Traffic congestion; Traffic counts; Traffic models; Traffic surveys
• Geographic Terms: Hong Kong (China)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00961835
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Aug 18 2003 12:00AM