The ability of neural networks to solve previously intractable computing problems is of concern to transportation. This study has two objectives: to sensitize transportation managers to the capabilities of neural networks, and to identify potential applications in transportation. This document contains a tutorial-type introduction to neural networks, and greater detail about the major classes of applications and types of neural networks. The types of applications are categorized as classification, prediction, sensor fusion, optimization, control, storage, and new computing paradigms. About 100 potential applications have been found, of which 12 are singled out for more detailed analysis. Canada has world-class researchers and application developers, but the funding of neural network research and development is far below all other industrialized countries.

  • Corporate Authors:

    Rockwood Informatics

    360 Albert Street, 11th Floor
    Ottawa, Ontario,   Canada 

    Transport Canada

    Transportation Development Centre, 800 Rene-Levesque Boulevard West, Suite 600
    Montreal, Quebec  Canada  H3B 2X1
  • Authors:
    • LaPlante, M
    • Languedoc, D
  • Publication Date: 1991-9


  • Undetermined

Subject/Index Terms

Filing Info

  • Accession Number: 00673902
  • Record Type: Publication
  • Contract Numbers: T8200-0-0536/01-XSD
  • Files: TRIS
  • Created Date: Jan 12 1995 12:00AM