Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/8239 |
Resumo: | Traffic loads, along with the environment, damage pavement over time. The degradation of pavement quality is reflected in the development of a diversity of pavement distresses, such as cracking, deformation or deterioration. These distresses may occur on the surface and/or in the pavement structure, having a determinant role in pavement’s quality. Aiming to increase the degree of reliability of the pavement distress data and reduce pavement observation time and visual inspection operations cost, this work presents the main steps proposed for a methodology to observe, record and evaluate flexible road pavement distresses to assess the quality of road pavements. This methodology is based on an in-vehicle inspection using GNSS and video image capture devices and in the use of Geographic Information System (GIS). Validation of the proposed methodology was made through a case study by comparing the results obtained on the in-vehicle inspection to those from a traditional visual inspection performed on foot. The similarity of results obtained by the two approaches allowed to conclude about the feasibility of the proposed methodology. Among the main advantages of the proposed methodology a highlight is on the possibility to identify, quantify and locate the most severe pavement distresses through the use of spatial tools available on GIS, producing information maps and reports that can be used in the decision-making process about road pavements rehabilitation and conservation. |
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Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GISRoad Pavement ConditionData CollectionVideo ImageGISGNSSTraffic loads, along with the environment, damage pavement over time. The degradation of pavement quality is reflected in the development of a diversity of pavement distresses, such as cracking, deformation or deterioration. These distresses may occur on the surface and/or in the pavement structure, having a determinant role in pavement’s quality. Aiming to increase the degree of reliability of the pavement distress data and reduce pavement observation time and visual inspection operations cost, this work presents the main steps proposed for a methodology to observe, record and evaluate flexible road pavement distresses to assess the quality of road pavements. This methodology is based on an in-vehicle inspection using GNSS and video image capture devices and in the use of Geographic Information System (GIS). Validation of the proposed methodology was made through a case study by comparing the results obtained on the in-vehicle inspection to those from a traditional visual inspection performed on foot. The similarity of results obtained by the two approaches allowed to conclude about the feasibility of the proposed methodology. Among the main advantages of the proposed methodology a highlight is on the possibility to identify, quantify and locate the most severe pavement distresses through the use of spatial tools available on GIS, producing information maps and reports that can be used in the decision-making process about road pavements rehabilitation and conservation.IOP Conference SeriesuBibliorumSantos, BerthaAlmeida, Pedro Gabriel DeMaganinho, Leonor Graciete de Oliveira2020-01-13T10:41:01Z2019-092019-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8239engBertha Santos et al 2019 IOP Conf. Ser.: Mater. Sci. Eng. 603 04208310.1088/1757-899X/603/4/042083info: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:RCAAP2024-02-21T03:39:02Zoai:ubibliorum.ubi.pt:10400.6/8239Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:37.031272Repositório 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 |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
title |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
spellingShingle |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS Santos, Bertha Road Pavement Condition Data Collection Video Image GIS GNSS |
title_short |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
title_full |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
title_fullStr |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
title_full_unstemmed |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
title_sort |
Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS |
author |
Santos, Bertha |
author_facet |
Santos, Bertha Almeida, Pedro Gabriel De Maganinho, Leonor Graciete de Oliveira |
author_role |
author |
author2 |
Almeida, Pedro Gabriel De Maganinho, Leonor Graciete de Oliveira |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Santos, Bertha Almeida, Pedro Gabriel De Maganinho, Leonor Graciete de Oliveira |
dc.subject.por.fl_str_mv |
Road Pavement Condition Data Collection Video Image GIS GNSS |
topic |
Road Pavement Condition Data Collection Video Image GIS GNSS |
description |
Traffic loads, along with the environment, damage pavement over time. The degradation of pavement quality is reflected in the development of a diversity of pavement distresses, such as cracking, deformation or deterioration. These distresses may occur on the surface and/or in the pavement structure, having a determinant role in pavement’s quality. Aiming to increase the degree of reliability of the pavement distress data and reduce pavement observation time and visual inspection operations cost, this work presents the main steps proposed for a methodology to observe, record and evaluate flexible road pavement distresses to assess the quality of road pavements. This methodology is based on an in-vehicle inspection using GNSS and video image capture devices and in the use of Geographic Information System (GIS). Validation of the proposed methodology was made through a case study by comparing the results obtained on the in-vehicle inspection to those from a traditional visual inspection performed on foot. The similarity of results obtained by the two approaches allowed to conclude about the feasibility of the proposed methodology. Among the main advantages of the proposed methodology a highlight is on the possibility to identify, quantify and locate the most severe pavement distresses through the use of spatial tools available on GIS, producing information maps and reports that can be used in the decision-making process about road pavements rehabilitation and conservation. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09 2019-09-01T00:00:00Z 2020-01-13T10:41:01Z |
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/10400.6/8239 |
url |
http://hdl.handle.net/10400.6/8239 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bertha Santos et al 2019 IOP Conf. Ser.: Mater. Sci. Eng. 603 042083 10.1088/1757-899X/603/4/042083 |
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 |
IOP Conference Series |
publisher.none.fl_str_mv |
IOP Conference Series |
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 |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
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 |
repository.mail.fl_str_mv |
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1799136379848884224 |