FACTORS INFLUENCING THE PERFORMANCE OF A NEURAL NETWORK DRIVER DECISION MODEL: A CASE STUDY USING SIMULATED DATA. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS

Neural networks and artificial neural networks have been applied by researchers for a broad range of disciplines including traffic engineering. The background, functionality and application of an increasing selection of neural network paradigms or models is well documented. This paper uses a case study to demonstrate that simulated data can be used effectively in preliminary development of a model; this allows a more clearly defined approach to further development using observed site data.

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  • Corporate Authors:

    Ashgate Publishing Company

    110 Cherry Street, Suite 3-1
    Burlington, VT  United States  05401-3818
  • Authors:
    • LYONS, G D
    • Hunt, J G
    • Yousif, S Y
  • Publication Date: 1998

Language

  • English

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Filing Info

  • Accession Number: 00796287
  • Record Type: Publication
  • ISBN: 184014808X
  • Files: TRIS
  • Created Date: Jul 26 2000 12:00AM