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.

Language

  • English
  • Japanese

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  • Accession Number: 01516653
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Feb 28 2014 1:59PM