Estimation of Dynamic Link Flows and Origin-Destination Matrices from Lower Polling Frequency Probe Vehicle Data
The authors present a methodology of estimating dynamic link flows and origin-destination matrices using lower polling frequency probe vehicle data (e.g. one point every 30-60s). Link travel time is first obtained from map-matched probe points using a method of proportional allocation. A derived speed-density function is then fitted for different types of roads. A Bayesian method that carefully incorporates prior information is used to estimate dynamic link flows from link travel speed. A bi-level generalized least-square (GLS) estimator is formulated so as to estimate dynamic OD matrices from estimated link flows. A traffic simulator in VISSIM is developed for a median size urban network using an open data set. The results validate the advantages of the proposed method for lower polling frequency probe vehicle data.
- Record URL:
- Summary URL:
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Authors:
- CAO, Peng
- MIWA, Tomio
- YAMAMOTO, Toshiyuki
- MORIKAWA, Takayuki
- Publication Date: 2013
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 762-775
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Serial:
- Journal of the Eastern Asia Society for Transportation Studies
- Volume: 10
- Issue Number: 0
- Publisher: Eastern Asia Society for Transportation Studies
- EISSN: 1881-1124
- Serial URL: https://www.jstage.jst.go.jp/browse/easts/-char/en
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Bayes' theorem; Data collection; Dynamic models; Least squares method; Matrices (Mathematics); Network links; Origin and destination; Probe vehicles; Traffic estimation; Traffic flow; Traffic simulation; Travel time
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01516653
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Feb 28 2014 1:59PM