TRACKING AND PREDICTING A NETWORK TRAFFIC PROCESS

This article studies the problems of real-time modeling and predicting freeway traffic. Conditional independence relationships and forecasting techniques are proposed which lead to dynamic state-space models using Kalman filters. The models are applied to several road networks in the Netherlands.

• Supplemental Notes:
  • Publication Date: March 1997
• Corporate Authors:

  Universita di Trieste

  ,    

  DRIVE (Program : European Communities)

  ,    

  University of Leeds

  Institute for Transport Studies
  Leeds, West Yorkshire  United Kingdom  LS2 9JT

  University of Lancaster. Dept. of Mathematics and Statistics

  ,    

  TNO INFRASTRUCTUUR, TRANSPORT EN REGIONALE ONTWIKKELING INRO

  PO BOX 6041
  DELFT,   Netherlands  2600 JA

  Technische Universiteit Delft. Afdeling der Civiele Techniek

  ,    
• Authors:
  • Whittaker, Joe
  • Garside, Simon
  • Lindveld, Karel
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 51-61
• Serial:
  • International journal of forecasting. Vol. 13, no. 1
  • Publisher: Universita di Trieste

Subject/Index Terms

• TRT Terms: Freeways; Kalman filtering; Traffic estimation
• Subject Areas: Highways;

Filing Info

• Accession Number: 00787522
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM