ESTIMATION OF TRIP MATRICES IN THE CASE OF MISSING AND UNCERTAIN DATA

The problem of missing data in the base (calibration) year is of major importance when applying the gravity model in transportation planning, because base year data are used for calibration of the model. In this report this problem is tackled by solving an optimization problem for the prediction year for values of the entropy level and the proportions of trips in a given stratification of the cells of the trip matrix estimated in the base year. The problem of uncertain data in the prediction year is handled by replacing equality constraints for the marginal totals in the prediction year by interval constraints. Computational methods are pointed out. (TRRL)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03482960
• Corporate Authors:

  Linkoeping University, Sweden

  Department of Mathematics
  S-58183 Linkoeping,   Sweden 
• Authors:
  • Erlander, S
  • Joernsten, K-O
• Publication Date: 1980-4-19

Media Info

• Features: References;
• Pagination: 17 p.
• Serial:
  • Publication of: Linkoeping University, Sweden
  • Publisher: Linkoeping University, Sweden
  • ISSN: 0348-2960

Subject/Index Terms

• TRT Terms: Calibration; Databases; Entropy (Communications); Forecasting; Gravity models; Matrices (Mathematics); Reliability (Statistics); Soils; Transportation planning; Travel
• Uncontrolled Terms: Trip
• ITRD Terms: 6171: Calibration; 132: Forecast; 690: Gravity model; 698: Journey; 6494: Matrix; 6532: Significance (stat)
• Subject Areas: Data and Information Technology; Geotechnology; Highways; Law; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00330473
• Record Type: Publication
• Source Agency: Swedish National Road and Transport Research Institute (VTI)
• Report/Paper Numbers: Lith-Mat-R-80-16 Monograph
• Files: ITRD, TRIS
• Created Date: Aug 15 1981 12:00AM