THE MOST LIKELY TRIP MATRIX ESTIMATED FROM TRAFFIC COUNTS

For a large number of applications conventional methods for estimating an origin destination matrix become too expensive to use. Two models, based on information minimisation and entropy maximisation principles, have been developed by the authors to estimate an o-d matrix from traffic counts. The models assume knowledge of the paths followed by the vehicles over the network. The models then use the traffic counts to estimate the most likely o-d matrix consistent with the link volumes available and any prior information about the trip matrix. Both models can be used to update and improve a previous o-d matrix. An algorithm to find a solution to the model is then described. The models have been tested with artificial data and performed reasonably well. Further research is being carried out to validate the models with real data. (Author/TRRL)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • Sponsored mainly by British Science Research Council.
• Corporate Authors:

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • van Zuylen, Henk J
  • WILLUMSEN, L G
• Publication Date: 1980-9

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 218-293
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 14B
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Algorithms; Estimating; Mathematical models; Matrices (Mathematics); Origin and destination; Traffic counting; Traffic counts; Traffic flow; Travel; Travel patterns; Walkways
• Uncontrolled Terms: Trip
• ITRD Terms: 6473: Mathematical model; 687: Origin destination traffic; 689: Traffic count; 671: Traffic flow
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00324809
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Report/Paper Numbers: HS-030 092
• Files: HSL, ITRD, TRIS
• Created Date: Sep 16 1983 12:00AM