Data-driven uncertainty quantification in macroscopic traffic flow models
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Publication:2095539
DOI10.1007/s10444-022-09989-5zbMath1501.35460OpenAlexW3193813997MaRDI QIDQ2095539
Mickaël Binois, Paola Goatin, Alexandra Würth, Simone Goettlich
Publication date: 17 November 2022
Published in: Advances in Computational Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10444-022-09989-5
optimizationparameter estimationGodunov schememacroscopic traffic flow modelsBayesian calibrationloop detector traffic data
Bayesian inference (62F15) Inverse problems for PDEs (35R30) Hyperbolic conservation laws (35L65) Traffic and pedestrian flow models (76A30)
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