TRAFFIC MANAGEMENT. RTS ENGLISH ISSUE NUMBER 6. ATHENA: A METHOD FOR SHORT-TERM INTER-URBAN MOTORWAY TRAFFIC FORECASTING

This report presents a new short-term traffic volume forecasting method, based on statistical analysis of traffic volume profiles. These profiles are consecutive values of the traffic volumes at a point divided by the total traffic volume for a given length of time. On the French toll motorway system it is shown that the daily traffic volume profies can be grouped into a small number of classes with members of the same class resembling each other more than members of different classes. Traffic forecasting is thus facilitated by forecasting for each class of traffic. A computer program (ATHENA) was developed and the method was tested during the summer of 1989 at three points on the French motorway system (Nimes, Orange and Beaune). The study shows conclusively that a traffic classification method, based on historical data, considerably improves accuracy of forecasting.

  • Availability:
  • Corporate Authors:

    Institut National de Recherche sur les Transports et leur Securite (INRETS)

    2 Avenue du General Malleret-Joinville
    Arcueil Cedex,   France  F-94114
  • Authors:
    • DANECH-PAJOUH, M
    • Aron, Maurice
  • Publication Date: 1991-2

Media Info

  • Features: Figures;
  • Pagination: p. 11-16
  • Serial:
    • RECHERCHE TRANSPORTS SECURITE
    • Issue Number: 6
    • Publisher: Institut National de Recherche sur les Transports et leur Securite (INRETS)
    • ISSN: 0761-8980

Subject/Index Terms

Filing Info

  • Accession Number: 00610026
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 30 1991 12:00AM