THE PREDICTION OF TRAFFIC FLOW VOLUMES BASED ON SPECTRAL ANALYSIS

A method for the short-term prediction of traffic flow volumes based on the spectral analysis of time series is described. The technique would appear to have important application for the prediction of traffic flow with periodic behaviour which can be characterized in terms of the modal functions associated with a covariance data matrix. The method has been applied successfully to the prediction of traffic flow in the mersey queensway tunnel and reasonably accurate results have been obtained. The prediction algorithms can be adapted for continuous online implementation with applications to traffic control, and in particular could be incorporated into an integrated tunnel ventilation system. /TRRL/

• Corporate Authors:

  Pergamon Press, Incorporated

  Maxwell House, Fairview Park
  Elmsford, NY  United States  10523
• Authors:
  • Nicholson, H
  • Swann, C D
• Publication Date: 1974-12

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 633-638
• Serial:
  • Transportation Research /UK/
  • Volume: 8
  • Issue Number: 6
  • Publisher: Pergamon Press, Incorporated

Subject/Index Terms

• TRT Terms: Algorithms; Calculation; Electromagnetic spectrum; Forecasting; Methodology; Sensors; Spectrum analysis; Time; Traffic counts; Traffic density; Traffic flow; Traffic volume; Travel patterns; Tunnels; Vector analysis; Ventilation systems
• Uncontrolled Terms: Traffic patterns
• ITRD Terms: 6464: Calculation; 132: Forecast; 6120: Sensor; 6776: Spectrum; 5414: Time; 673: Traffic concentration; 689: Traffic count; 671: Traffic flow; 3374: Tunnel; 6493: Vector; 3392: Ventilation
• Subject Areas: Bridges and other structures; Design; Highways; Operations and Traffic Management; I25: Design of Tunnels; I71: Traffic Theory;

Filing Info

• Accession Number: 00125107
• Record Type: Publication
• Source Agency: Transport and Road Research Laboratory (TRRL)
• Files: ITRD, TRIS
• Created Date: Nov 18 1975 12:00AM