Frequency Spectrum Analysis for Traffic Oscillation Measurements

The paper proposes a systematic frequency spectrum analysis approach to improve understanding and measurement of traffic oscillation properties (e.g., periodicity, magnitude) from field data. The approach builds on a set of digital signal processing techniques (e.g., discrete Fourier transform) to effectively distinguish useful oscillation information from noises and nonstationary traffic trends. Compared to conventional time-domain methods, the proposed methodology has the advantage of providing a broader range of accurate information on oscillation properties. Application to real-world traffic data shows that the proposed approach effectively identifies important oscillation properties; insights into the oscillation phenomenon are also discussed.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Li, Xiaopeng
  • Peng, Fan
  • Ouyang, Yanfeng
• Conference:
  • Transportation Research Board 88th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2009-1-11 to 2009-1-15
• Date: 2009

Language

• English

Media Info

• Media Type: DVD
• Features: Appendices; Figures; References;
• Pagination: 20p
• Monograph Title: TRB 88th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Fourier transforms; Operations; Signal processing; Spectrum analysis; Traffic data; Traffic noise; Traffic signal control systems; Traffic signal cycle
• Uncontrolled Terms: Real world traffic; Traffic oscillations
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01126631
• Record Type: Publication
• Report/Paper Numbers: 09-2328
• Files: TRIS, TRB
• Created Date: Apr 17 2009 9:56AM