Freeway traffic estimation within particle filtering framework

DOI10.1016/j.automatica.2006.08.023zbMath1111.93076OpenAlexW1965186506WikidataQ107160088 ScholiaQ107160088MaRDI QIDQ869078

Andreas Hegyi, Lyudmila Mihaylova, René K. Boel

Publication date: 26 February 2007

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/82258/1/Automatica_revised_final.pdf

zbMATH Keywords

Bayesian estimationstochastic systemsparticle filteringmacroscopic traffic modelsunscented Kalman filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Traffic problems in operations research (90B20) Stochastic systems in control theory (general) (93E03)

Related Items (9)

Criticism of generally accepted fundamentals and methodologies of traffic and transportation theory: a brief review ⋮ Nonlinear State Estimation and Control for Freeway On-Ramp Metering ⋮ Error bounds for Kalman filters on traffic networks ⋮ On sequential data assimilation for scalar macroscopic traffic flow models ⋮ An interpretable model for short term traffic flow prediction ⋮ An adaptive freeway traffic state estimator ⋮ Traffic Reconstruction Using Autonomous Vehicles ⋮ A streaming-data-driven method for freeway traffic state estimation using probe vehicle trajectory data ⋮ Bayesian analysis of traffic flow on interstate I-55: the LWR model

Cites Work

• Unnamed Item
• Sequential Monte Carlo Methods in Practice
• A new method for the nonlinear transformation of means and covariances in filters and estimators
• Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations

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