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Title: Roughness Prediction Models Using Pavement Surface Distresses in Different Canadian Climatic Regions
Accession Number: 01659470
Record Type: Component
Abstract: International Roughness Index (IRI), which is measured in meters per kilometer, has proven to be a powerful tool for the evaluation of pavement performance and the management of pavement assets. Several transportation agencies across Canada, and the world, utilize IRI in some form. However, it is a costly and time-consuming process to collect the necessary data for large roadway networks. The correlation between the index and distress is inherent, as roughness is a function of both the changes in elevation of the distress-free pavement surface and the changes in elevation due to existing surface distress. In this way, a relationship between existing surface distress and IRI may be developed. However, the susceptibility of pavement to various types of surface distress is affected by many factors, including climatic conditions. Due to the size of Canada, various climatic conditions are experienced throughout the country each year. Therefore, a model that relates pavement surface distress to IRI for Canada needs to account for climatic conditions in different locations. This paper investigates the relationship between pavement surface distresses and IRI for different climatic conditions in Canada using historical data collected at numerous pavement test section locations across the country. These data are sourced from the Long-Term Pavement Performance Program (LTPP) database. Two models are developed for the 2 dominant climatic regions in Canada for which useful data were available. Both models were calibrated then validated and found to be statistically significant. The accuracy of the models can be improved by incorporating new data into the calibration and validation steps of model development.
Supplemental Notes: This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation.
Report/Paper Numbers: 18-02602
Language: English
Authors: Patrick, GraemeSoliman, HaithemPagination: 15p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Highways; Pavements
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-02602
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:37AM
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