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:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00494488
• 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:
  • Transportation (Netherlands)
  • Volume: 23
  • Issue Number: 3
  • Publisher: Martinus Nijhoff Publishers
  • ISSN: 0049-4488

Subject/Index Terms

• TRT Terms: Dynamic models; Forecasting; Geographic information systems; Stochastic processes; Travel demand
• Uncontrolled Terms: Equilibrium models
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

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