TIME SERIES ANALYSIS OF LOCAL FLUCTUATIONS IN TRAFFIC PARAMETERS

This paper considers the problem of constructing a dynamic time series model for local fluctuations in traffic parameters from observations collected during periods when the rate of traffic flow is not constant. The application of linear high-pass filters to serially correlated data obtained through a measurement queue is considered in both the time and frequency domains. For the filtered series, a general autoregressive moving average model is postulated to describe the local fluctuations. Throughout the paper, an eight-hour sample of air traffic in the local control sector at New York's LaGuardia Airport serves as a case study for the techniques described.(a) /TRRL/

  • Corporate Authors:

    Pergamon Press, Incorporated

    Maxwell House, Fairview Park
    Elmsford, NY  United States  10523
  • Authors:
    • POLHEMUS, N W
  • Publication Date: 1976-10

Media Info

  • Features: Figures; References;
  • Pagination: p. 311-317
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00149096
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Report/Paper Numbers: Analytic
  • Files: ITRD, TRIS
  • Created Date: Jul 2 1977 12:00AM