TRAFFIC-FLOW-PREDICTION SYSTEMS BASED ON UPSTREAM TRAFFIC

This paper describes how network-based models were developed to predict short term future traffic volume based on current traffic historical average, and upstream traffic. Three models were developed for traffic flow prediction and were evaluated using regression analysis.

• Supplemental Notes:
  • Publication Date: 1994 Published By: IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Ian Catling Consultancy

  ,    

  DRIVE (Program : European Communities)

  ,    

  PLEIADES Coordination Team

  ,    

  Transek AB

  Sundbybergsvagen 1A
  17 173 Solna,   Sweden 

  Mitsubishi Shoji Kabushiki Kaisha

  ,    

  Aristoteleio Panepistemio Thessalonikes

  ,    
• Authors:
  • Hobeika, Antoine G
  • Kim, Chang kyun
• Conference:
  • Vehicle Navigation and Information Systems Conference (5th : 1994 : Yokohama, Japan). 1994 Vehicle Navigation & Information Systems Conference proceedings
• Publication Date: 1994

Language

• English

Media Info

• Pagination: p. 345-350

Subject/Index Terms

• TRT Terms: Traffic estimation; Traffic flow
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00786637
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM