01126631

Component

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.

01120148

09-2328

English

20p

2009

Transportation Research Board 88th Annual Meeting

DVD

Appendices (1) ; Figures (13) ; References

Fourier transforms; Operations; Signal processing; Spectrum analysis; Traffic data; Traffic noise; Traffic signal control systems; Traffic signal cycle

Real world traffic; Traffic oscillations

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2009 Paper #09-2328

TRIS, TRB

Jan 30 2009 6:41PM