Estimating Queue Length Under Connected Vehicle Technology: Using Probe Vehicle, Loop Detector, and Fused Data
With the emergence of connected vehicle technology, the use of probe trajectory data to estimate queue length has recently received considerable attention. Unlike data collected by loop detectors, probe trajectory data can provide a lower bound on the queue length even if the market penetration rate is low. An event-based method is developed: it uses both probe trajectory and signal timing data to estimate queue length, and the estimation accuracy under different market penetration rates is examined. A data fusion method is developed: it combines probe trajectory data and loop detector data, and the situation in which the data fusion method is expected to work well is investigated. Case studies are conducted with microscopic simulation data, and some observations are made.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/169773.aspx
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Authors:
- Li, Jing-Quan
- Zhou, Kun
- Shladover, Steven E
- Skabardonis, Alexander
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 17-22
- Monograph Title: Traffic Signal Systems 2013, Volume 2
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2356
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Data fusion; Loop detectors; Methodology; Mobile communication systems; Probe vehicles; Traffic queuing; Traffic signal timing; Vehicle trajectories
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I71: Traffic Theory; I73: Traffic Control;
Filing Info
- Accession Number: 01477305
- Record Type: Publication
- ISBN: 9780309286824
- Report/Paper Numbers: 13-2274
- Files: TRIS, TRB, ATRI
- Created Date: Apr 2 2013 4:15PM