AN INTEGRATED, DYNAMIC APPROACH TO TRAVEL DEMAND FORECASTING

This paper presents a unified approach for improving travel demand models through the application and extension of supernetwork models of multi-dimensional travel choices. A variety of theoretical and practical problems are identified whose solution underlies implementation of this approach. Recommended future research includes improved algorithms for stochastic and dynamic equilibrium assignment, new methods for calibrating assignment models, and the use of Geographic Information Systems (GIS) technology for data and model management.

  • Availability:
  • Corporate Authors:

    Martinus Nijhoff Publishers

    Kluwer Academic Pub Group, Distribution Center, P.O. Box 322
    3300 AH Dordrecht,   Netherlands 
  • Authors:
    • Slavin, H
  • Publication Date: 1996-8

Language

  • English

Media Info

  • Pagination: p. 313-350
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00728973
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 31 1996 12:00AM