Air traffic forecasting methods are classified under three general heading estimate method, trend analysis (in the broad sense), and forecasts based on models. The time period covered by the forecast, the extent of the field under study, and the level of detail required from a different axis for classification. The mean variation method, the sliding averages method, and the trend functions method are subsumed under trend analysis (based on studies of time series). Analysis of growth rates for a given time series is handled by the mean variation method. Models dealing with functional relationships between traffic volume and various influencing factors include gravitational models (using traffic potentials), traffic generation models, modal split models, and elasticity models. Best areas of applications and applicable restrictions for the methods and models are indicated.

  • Corporate Authors:

    Bauverlag GmbH

    Wittelbacherstrasse 10
    6200 Wiesbaden,   Germany 
  • Authors:
    • Henning, D
  • Publication Date: 1976-4

Media Info

  • Pagination: 7 p.
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00163484
  • Record Type: Publication
  • Source Agency: International Aerospace Abstracts
  • Files: TRIS
  • Created Date: Sep 28 1977 12:00AM