Prediction of friction degradation in highways with linear mixed models
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/1822/72506 |
Summary: | The development of a linear mixed model to describe the degradation of friction on flexible road pavements to be included in pavement management systems is the aim of this study. It also aims at showing that, at the network level, factors such as temperature, rainfall, hypsometry, type of layer, and geometric alignment features may influence the degradation of friction throughout time. A dataset from six districts of Portugal with 7204 sections was made available by the Ascendi Concession highway network. Linear mixed models with random effects in the intercept were developed for the two-level and three-level datasets involving time, section and district. While the three-level models are region-specific, the two-level models offer the possibility to be adopted to other areas. For both levels, two approaches were made: One integrating into the model only the variables inherent to traffic and climate conditions and the other including also the factors intrinsic to the highway characteristics. The prediction accuracy of the model was improved when the variables hypsometry, geometrical features, and type of layer were considered. Therefore, accurate predictions for friction evolution throughout time are available to assist the network manager to optimize the overall level of road safety. |
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Prediction of friction degradation in highways with linear mixed modelsFrictionSkid resistancePavementPerformanceDegradationLinear mixed models (LMMs)Science & TechnologyThe development of a linear mixed model to describe the degradation of friction on flexible road pavements to be included in pavement management systems is the aim of this study. It also aims at showing that, at the network level, factors such as temperature, rainfall, hypsometry, type of layer, and geometric alignment features may influence the degradation of friction throughout time. A dataset from six districts of Portugal with 7204 sections was made available by the Ascendi Concession highway network. Linear mixed models with random effects in the intercept were developed for the two-level and three-level datasets involving time, section and district. While the three-level models are region-specific, the two-level models offer the possibility to be adopted to other areas. For both levels, two approaches were made: One integrating into the model only the variables inherent to traffic and climate conditions and the other including also the factors intrinsic to the highway characteristics. The prediction accuracy of the model was improved when the variables hypsometry, geometrical features, and type of layer were considered. Therefore, accurate predictions for friction evolution throughout time are available to assist the network manager to optimize the overall level of road safety.This research was funded by FCT—Fundação para a Ciência e Tecnologia (Foundation for Science and Technology), Grants No. UIDB/04029/2020 and UIDB/00319/2020.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoSantos, AdrianaFreitas, E. F.Faria, SusanaOliveira, Joel R. M.Rocha, Ana Maria A. C.20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/72506engSantos, A.; Freitas, E.F.; Faria, S.; Oliveira, J.R.M.; Rocha, A.M.A.C. Prediction of Friction Degradation in Highways with Linear Mixed Models. Coatings 2021, 11, 187. https://doi.org/10.3390/coatings110201872079-641210.3390/coatings11020187https://www.mdpi.com/2079-6412/11/2/187info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:39:23Zoai:repositorium.sdum.uminho.pt:1822/72506Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:35:59.161400Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Prediction of friction degradation in highways with linear mixed models |
title |
Prediction of friction degradation in highways with linear mixed models |
spellingShingle |
Prediction of friction degradation in highways with linear mixed models Santos, Adriana Friction Skid resistance Pavement Performance Degradation Linear mixed models (LMMs) Science & Technology |
title_short |
Prediction of friction degradation in highways with linear mixed models |
title_full |
Prediction of friction degradation in highways with linear mixed models |
title_fullStr |
Prediction of friction degradation in highways with linear mixed models |
title_full_unstemmed |
Prediction of friction degradation in highways with linear mixed models |
title_sort |
Prediction of friction degradation in highways with linear mixed models |
author |
Santos, Adriana |
author_facet |
Santos, Adriana Freitas, E. F. Faria, Susana Oliveira, Joel R. M. Rocha, Ana Maria A. C. |
author_role |
author |
author2 |
Freitas, E. F. Faria, Susana Oliveira, Joel R. M. Rocha, Ana Maria A. C. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Santos, Adriana Freitas, E. F. Faria, Susana Oliveira, Joel R. M. Rocha, Ana Maria A. C. |
dc.subject.por.fl_str_mv |
Friction Skid resistance Pavement Performance Degradation Linear mixed models (LMMs) Science & Technology |
topic |
Friction Skid resistance Pavement Performance Degradation Linear mixed models (LMMs) Science & Technology |
description |
The development of a linear mixed model to describe the degradation of friction on flexible road pavements to be included in pavement management systems is the aim of this study. It also aims at showing that, at the network level, factors such as temperature, rainfall, hypsometry, type of layer, and geometric alignment features may influence the degradation of friction throughout time. A dataset from six districts of Portugal with 7204 sections was made available by the Ascendi Concession highway network. Linear mixed models with random effects in the intercept were developed for the two-level and three-level datasets involving time, section and district. While the three-level models are region-specific, the two-level models offer the possibility to be adopted to other areas. For both levels, two approaches were made: One integrating into the model only the variables inherent to traffic and climate conditions and the other including also the factors intrinsic to the highway characteristics. The prediction accuracy of the model was improved when the variables hypsometry, geometrical features, and type of layer were considered. Therefore, accurate predictions for friction evolution throughout time are available to assist the network manager to optimize the overall level of road safety. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/72506 |
url |
http://hdl.handle.net/1822/72506 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Santos, A.; Freitas, E.F.; Faria, S.; Oliveira, J.R.M.; Rocha, A.M.A.C. Prediction of Friction Degradation in Highways with Linear Mixed Models. Coatings 2021, 11, 187. https://doi.org/10.3390/coatings11020187 2079-6412 10.3390/coatings11020187 https://www.mdpi.com/2079-6412/11/2/187 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132887384064000 |