Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/79237

TítuloDegradation of friction performance indicator over the time in highways using linear mixed models
Autor(es)Santos, Adriana
Freitas, E. F.
Faria, Susana
Oliveira, Joel R. M.
Rocha, Ana Maria A. C.
Palavras-chaveDegradation
Friction
Linear mixed models (LMM)
Pavement management system
Performance
Skid resistance
Data2022
EditoraSpringer
RevistaSustainable Civil Infrastructures
CitaçãoSantos, A., Freitas, E., Faria, S., Oliveira, J., Rocha, A.M.A.C. (2022). Degradation of Friction Performance Indicator Over the Time in Highways Using Linear Mixed Models. In: , et al. Advances in Road Infrastructure and Mobility. IRF 2021. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-030-79801-7_35
Resumo(s)Pavement Management Systems use models describing performance indicators and can be used to plan future maintenance and rehabilitation activities taking into account the safety and economic requirements. The COST Action 354 (Long Term Performance of Road Pavements), with the participation of experts from 15 European countries, has established a list of seven performance indicators. Skid resistance and texture are interrelated in the sense that texture can be considered to be one of the explanatory variables of skid resistance and both have a major bearing on road safety. Using the database provided by a Portuguese motorway concessionary, this study aimed to develop and validate linear mixed-effects models to describe the degradation of friction performance indicator, throughout the time, based on the formula established by COST, and identify whether the traffic, climate conditions, pavement structure, and geometric characteristics of the highway influence that behavior. To accomplish these main objectives, linear-mixed models with two random effects (one in the intercept and another associated with the slope in the Time variable) were considered for a 2-level data set (level 2 distinguishes the road sections and level 1 represents the repeated measures made over time). Two approaches were made: a model that includes only the variables inherent to traffic and climate conditions and another including the factors inherent to the highway characteristics. Results confirm that the traffic, climate conditions, pavement structure, and geometric characteristics of the highway influence the degradation of friction performance indicator.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/79237
ISBN9783030798000
DOI10.1007/978-3-030-79801-7_35
ISSN2366-3405
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-030-79801-7_35
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings
ISISE - Livros de atas

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