The purpose of this paper is to develop a multiple linear regression model that describes the pavement's friction behaviour using a degradation evolution law that also considers the effects of weather, vertical alignment and traffic factors. This study is based on real data obtained from two different highways with an approximate total length of 43 km. These sections present different alignment features (plan/profile), different Annual Average Daily Traffic and are subjected to different weather conditions. Nevertheless, both comprise the same type of upper layer. The efficiency of the linear regression model in approaching and explaining data was demonstrated. The most relevant factors involved in the degradation process of pavements' friction were identified. © 2014 Springer International Publishing.
CITATION STYLE
Santos, A., Freitas, E., Faria, S., Oliveira, J. R. M., & Rocha, A. M. A. C. (2014). Degradation prediction model for friction in highways. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8581 LNCS, pp. 606–614). Springer Verlag. https://doi.org/10.1007/978-3-319-09150-1_44
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