THE USE OF NEURAL NETWORKS FOR SHORT-TERM PREDICTION OF TRAFFIC DEMAND

This paper presents the results of a preliminary exploration of the performance of neural networks for the traffic demand prediction problem, from the point of view of the quality of the provided results, as well as from the computational requirements for real-time applications.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0080434487
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • BARCELO, J
  • CASAS, J
• Conference:
  • 14th International Symposium on Transportation and Traffic Theory
  • Location: Jerusalem, Israel
  • Date: 1999-7-20 to 1999-7-23
• Publication Date: 1999

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 419-443

Subject/Index Terms

• TRT Terms: Neural networks; Real time control; Traffic forecasting
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00794636
• Record Type: Publication
• ISBN: 0080434487
• Files: TRIS, ATRI
• Created Date: Jun 5 2000 12:00AM