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Part 1: Document Description
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Citation |
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Title: |
A Spatial-statistical model to analyse historical rutting data |
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Identification Number: |
doi:10.18710/WD05DG |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2024-02-22 |
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Version: |
1 |
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Bibliographic Citation: |
Jourdain, Natoya O. A. S.; Steinsland, Ingelin; Vedvik, Emil; Birkhez-Shami, Mamoona; Olsen, William; Gryteselv, Dagfin; Siebert, Doreen; Klein-Paste, Alex, 2024, "A Spatial-statistical model to analyse historical rutting data", https://doi.org/10.18710/WD05DG, DataverseNO, V1 |
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Citation |
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Title: |
A Spatial-statistical model to analyse historical rutting data |
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Identification Number: |
doi:10.18710/WD05DG |
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Authoring Entity: |
Jourdain, Natoya O. A. S.; Steinsland, Ingelin; Vedvik, Emil; Birkhez-Shami, Mamoona; Olsen, William; Gryteselv, Dagfin; Siebert, Doreen; Klein-Paste, Alex (NTNU – Norwegian University of Science and Technology) |
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Other identifications and acknowledgements: |
Andersen, Trond Michael |
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Other identifications and acknowledgements: |
Gryteselv, Dagfin |
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Other identifications and acknowledgements: |
Klein-Paste, Alex |
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Other identifications and acknowledgements: |
Siebert, Doreen |
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Other identifications and acknowledgements: |
Ingelin Steinsland |
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Other identifications and acknowledgements: |
Jourdain, Natoya O.A.S |
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Producer: |
NTNU – Norwegian University of Science and Technology |
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Date of Production: |
2020-05-21 |
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Software used in Production: |
R studio |
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Software used in Production: |
INLA |
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Grant Number: |
https://www.vegvesen.no/ |
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Grant Number: |
https://www.ntnu.no/ |
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Distributor: |
DataverseNO |
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Distributor: |
NTNU – Norwegian University of Science and Technology |
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Access Authority: |
Jourdain, Natoya |
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Depositor: |
Jourdain, Natoya Olita Amantha Stephen |
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Date of Deposit: |
2024-02-14 |
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Holdings Information: |
https://doi.org/10.18710/WD05DG |
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Study Scope |
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Keywords: |
Engineering, Mathematical Sciences, Flexible pavement, Predictive maintenance, Rutting, Spatial-statistical model, Uncertainty, Bayesian Hierarchical models, Linear mixed models with INLA, Spatial and random effects |
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Abstract: |
The rutting dataset comprises of the annual rutting for years 2010-2020 (millimetre, calculated as the difference between current and previous year's data), with rut depth measurement from the previous year (millimetre), annual average daily traffic (AADT), lane width (metre), bearing capacity for year 2021 (tonnes), surface curvature index for year 2021, and base curvature index data (2021). The rutting data was collected for 20-metre road segments at specific latitude and longitude locations. The rutting is assumed to be linearly related to known explanatory variables (e.g., lane width) and random and spatial components. Rutting measurements were used to fit spatial-statistical models with random and spatial components in a Bayesian Hierarchical framework. Non spatial-statistical models with random yearly effects were also fitted. We compared these models to determine the importance of accounting for spatial information and to properly account for the rutting variability. |
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Time Period: |
2010-05-21-2020-05-21 |
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Date of Collection: |
2010-05-21-2020-05-21 |
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Country: |
Norway |
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Geographic Coverage: |
Trøndelag, Trondheim to Storlien on the Swedish border |
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Kind of Data: |
Survey data |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
Norwegian Public Roads Administration data bank: NVDB; Statens Vegvesen Vegkart and Rosita data base. |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Jourdain N.O.A.S et al (2024) A Spatial-statistical model to analyse historical rutting data. Preprint submitted, and it will be submitted for review |
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Bibliographic Citation: |
Jourdain N.O.A.S et al (2024) A Spatial-statistical model to analyse historical rutting data. Preprint submitted, and it will be submitted for review |
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Label: |
00_ReadMe.txt |
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Text: |
Description of data |
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Notes: |
text/plain |
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Label: |
01_2024_Figures.zip |
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Text: |
All figures and plot used in preprint |
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Notes: |
application/zip |
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Label: |
02_2024_Dataset.geojson |
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Text: |
Annual rutting data, with known explanatory variables, and geographical location |
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Notes: |
application/geo+json |
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Label: |
03_A_spatial_statistical_model_1_Jourdain_New_update.R |
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Text: |
Spatial statistical rutting model with all explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
04_A_spatial_statistical_model_2_Jourdain_New_update.R |
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Text: |
Spatial statistical rutting model with up to two explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
05_A_spatial_statistical_model_3_Jourdain_New_update.R |
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Text: |
Spatial statistical rutting model with up to one explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
06_A_NON_spatial_statistical_model_4_Jourdain_New_update.R |
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Text: |
Non spatial statistical rutting model with all explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
07_A_NON_spatial_statistical_model_5_Jourdain_New_update.R |
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Text: |
Non spatial statistical rutting model with up to two explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
08_A_NON_spatial_statistical_model_6_Jourdain_New_update.R |
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Text: |
Non spatial statistical rutting model with up to one explanatory variables (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
09_Results_from_fitting_all_models.R |
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Text: |
Results from fitting spatial and non spatial statistical models (R codes) |
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Notes: |
type/x-r-syntax |
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Label: |
10_inlaResults_EV14_model_1.RData |
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Text: |
Results from fitting the spatial model 1 |
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Notes: |
application/x-rlang-transport |
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Label: |
11_inlaResults_EV14_model_2.RData |
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Text: |
Results from fitting the spatial model 2 |
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Notes: |
application/x-rlang-transport |
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Label: |
12_inlaResults_EV14_model_3.RData |
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Text: |
Results from fitting the spatial model 3 |
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Notes: |
application/x-rlang-transport |
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Label: |
13_inlaResults_EV14_ns.model_4.RData |
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Text: |
Results from fitting the non spatial model 4 |
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Notes: |
application/x-rlang-transport |
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Label: |
14_inlaResults_EV14_ns.model_5.RData |
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Text: |
Results from fitting the non spatial model 5 |
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Notes: |
application/x-rlang-transport |
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Label: |
15_inlaResults_EV14_ns.model_6.RData |
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Text: |
Results from fitting the non spatial model 6 |
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Notes: |
application/x-rlang-transport |