A methodology for probabilistic pavement condition forecast based on Bayesian filters

Tim Blumenfeld, Arnór Elvarsson, Rade Hajdin, Frank Schiffmann, Christopher Grund, Henning Balck
January, 2024
DOI
Type
Journal article
Publication
Structure and Infrastructure Engineering , 20 (1), pp. 83 – 96, https://doi.org/10.1080/15732479.2022.2077769
case study extended Kalman filter performance models probabilistic forecast Decision making Extended Kalman filters Highway administration Highway planning Pavements Uncertainty analysis Case-studies Condition Condition forecasting Forecast models Pavement management Performance Modeling Probabilistic forecasts Road condition Road condition data Uncertainty Forecasting
Arnór Elvarsson
Arnór Elvarsson
Research assistant

Arnór is passionate about managing infrastructure and making robust decisions considering the uncertain future affecting our built environment.