ESTIMATION OF AADT VOLUMES USING NEURAL NETWORKS

This study compared the estimations of annual average daily traffic (AADT) volumes using the conventional method and the neural network approach. The neural network approach consistently performed better than the conventional approach. Apart from providing a good modelling tool for estimating AADT, the results also provide useful insight into the duration of the short term traffic counts and the classification schemes for the highway sites. (A) For the covering abstract see IRRD 873901.

  • Availability:
  • Corporate Authors:

    AA Balkema

    P.O. Box 1675
    Rotterdam,   Netherlands  BR-3000
  • Authors:
    • Lingras, P
    • Adamo, M
  • Publication Date: 1995

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00714368
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 90-5410-556-9
  • Files: ITRD
  • Created Date: Dec 27 1995 12:00AM