Measurement and estimation of traffic oscillation properties
The paper proposes a frequency spectrum analysis approach to improve measurements of traffic oscillation properties (e.g., periodicity, magnitude) from field data. The approach builds on standard signal processing techniques to effectively distinguish useful oscillation information from noise and nonstationary traffic trends. Compared with conventional time-domain methods, the proposed methodology systematically provides a range of information on oscillation properties. This paper also shows how to estimate oscillations experienced by drivers using detector data. Applications to real-world data from two sites show that the dominant oscillation period remains relatively invariant at each site when an oscillation propagates. Although the average oscillation periods displayed in detector data significantly vary across sites, the range of oscillations experienced by drivers are found to be more consistent.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- Li, Xiaopeng
- Peng, Fan
- Ouyang, Yanfeng
- Publication Date: 2010-1
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Figures; References;
- Pagination: pp 1-14
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Serial:
- Transportation Research Part B: Methodological
- Volume: 44
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Detectors; Estimation theory; Measurement; Methodology; Signal processing
- Uncontrolled Terms: Data; Traffic oscillations
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01146474
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Dec 22 2009 8:59AM