@inbook {1943,
	title = {Degradation prediction model for friction in highways},
	booktitle = {Computational Science and Its Applications {\textendash} ICCSA 2014},
	series = {Computational Science and Its Applications {\textendash} ICCSA 2014, Lecture Notes in Computer Science},
	volume = {8581},
	year = {2010},
	note = {
Santos, A., Freitas, E., Faria, S., Oliveira, J. M., \& Rocha, A. C. (2014). Degradation Prediction Model for Friction in Highways. In B. Murgante, S. Misra, A. C. Rocha, C. Torre, J. Rocha, M. Falc{\~a}o, D. Taniar, B. Apduhan \& O. Gervasi (Eds.), Computational Science and Its Applications {\textendash} ICCSA 2014 (Vol. 8581, pp. 606-614): Springer International Publishing.
},
	month = {2010-01-01 00:00:00},
	pages = {606-614},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Universidade do Minho, Guimar{\~a}es},
	abstract = {
The purpose of this paper is to develop a multiple linear regression model that describes the pavement{\textquoteright}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{\textquoteright} friction were identified.
},
	keywords = {friction, highways, Prediction, regression model},
	isbn = {978-3-319-09149-5},
	doi = {10.1007/978-3-319-09150-1_44},
	author = {Santos, A. and Freitas, E.F. and Faria, S. and Oliveira, J. R. M. and Rocha, A. M.}
}