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

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 311-317
• Serial:
  • Transportation Research /UK/
  • Volume: 10
  • Issue Number: 5
  • Publisher: Pergamon Press, Incorporated

Subject/Index Terms

• TRT Terms: Data collection; Mathematical models; Time; Traffic flow
• Geographic Terms: United States
• Old TRIS Terms: Fluctuation
• ITRD Terms: 6473: Mathematical model; 5414: Time; 671: Traffic flow; 8122: USA
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

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