A spatial-statistical model to analyse historical rutting data

Author:

Jourdain Natoya O. A. S.1,Steinsland Ingelin1,Birkhez-Shami Mamoona2,Vedvik Emil3,Olsen William4,Gryteselv Dagfin5,Siebert Doreen5,Klein-Paste Alex6

Affiliation:

1. Institute of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

2. Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

3. Fremtind Forsikring, Trondheim, Norway

4. Sopera Steria, Oslo, Norway

5. Maintenance and Operations, Statens vegvesen, Trondheim, Norway

6. Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Funder

Norwegian University of Science and Technology

Statens Vegvesen

Publisher

Informa UK Limited

Reference67 articles.

1. A new look at the statistical model identification

2. A three-stage rutting model utilising rutting performance data from the Hamburg Wheel-Tracking Device (WTD);Al-Khateeb G.;Road & Transport Research: A Journal of Australian and New Zealand Research and Practice,2009

3. Incorporating spatial variability of pavement foundation layers stiffness in reliability-based mechanistic-empirical pavement performance prediction

4. Gaussian predictive process models for large spatial data sets

5. Spatial and Spatio-temporal Bayesian Models with R-INLA

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