Assimilating Eulerian and Lagrangian data in traffic-flow models

DOI10.1016/j.physd.2017.02.004zbMath1415.90024OpenAlexW2591123897WikidataQ60143862 ScholiaQ60143862MaRDI QIDQ2001031

Björn Sandstede, Paul Carter, Laura Slivinski, Chao Xia, Jenna Palmer, Joseph DeGuire, Patrick Murphy, Gaoyang Fan, Courtney Cochrane, Emma Holmes, Melissa R. McGuirl

Publication date: 1 July 2019

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2017.02.004

zbMATH Keywords

data assimilationtraffic flowLagrangian observationsEulerian observations

Mathematics Subject Classification ID

Sampled-data control/observation systems (93C57) Traffic problems in operations research (90B20) PDEs in connection with mathematical programming (35Q90)

Uses Software

• Matlab
• EnKF

Cites Work

• A Traffic Model for Velocity Data Assimilation
• Sequential Imputations and Bayesian Missing Data Problems
• Spectral Methods in MATLAB
• Multijam Solutions in Traffic Models with Velocity-Dependent Driver Strategies
• Shock Waves on the Highway
• Monte Carlo sampling methods using Markov chains and their applications
• On kinematic waves II. A theory of traffic flow on long crowded roads
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