AN ENTROPY-BASED MODAL SPLIT MODEL

A mathematical programming model for modal split predictions based on entropy maximization is presented. The relationship between this type of entropy-based model and the more traditional logit-type models is clarified. The entropy model presented has been used to predict travel patterns in the Stockholm region and has been based on census and survey data. A balancing procedure has been used in the solution process. It is shown how additional information, in this case traffic count information, can be included in the model. Computational results and experiences are discussed.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Corporate Authors:

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • JORNSTEN, K O
  • Lundgren, J T
• Publication Date: 1989-10

Media Info

• Features: References; Tables;
• Pagination: p. 345-359
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 23B
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Entropy (Communications); Mathematical models; Modal split; Traffic counts; Travel patterns
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 00488498
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Oct 31 1989 12:00AM