Validation of an indirect data collection method to assess airport pavement condition
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10400.6/10448 |
Resumo: | The authors acknowledge University of Beira Interior, CERIS - Civil Engineering Research and Innovation for Sustainability (ECI/04625), GEOBIOTEC - GeoBioSciences, GeoTechnologies and GeoEngineering (GEO/04035) and ASA SA, Cape Verde Airports and Air Safety for support and funding of this study. |
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Validation of an indirect data collection method to assess airport pavement conditionAirport pavement management systemData collectionImage processingStatistical comparisonThe authors acknowledge University of Beira Interior, CERIS - Civil Engineering Research and Innovation for Sustainability (ECI/04625), GEOBIOTEC - GeoBioSciences, GeoTechnologies and GeoEngineering (GEO/04035) and ASA SA, Cape Verde Airports and Air Safety for support and funding of this study.In this study the authors compare two methods for airport asphalt pavement distress data collection applied on the main runway of Amílcar Cabral international airport, located at Sal Island in Cape Verde. The two methods used for testing were traditional visual inspection (on-foot) and an indirect method using a vehicle equipped with image capture and recording, lasers and geolocation devices (in-vehicle inspection). The aim of this research is to contribute to the validation of the proposed low-cost in-vehicle pavement distress inspection system with semiautomatic data processing in order to be considered in the implementation of the pavement condition assessment component of airport pavement management systems (APMS). This is a particularly important component as from the collected distress data it is possible to assess the condition of the pavements and define intervention strategies. Validation of the indirect data collection method is evaluated by statistical comparison of the collected distress data and pavement condition index (PCI) obtained from both methods. Statistically non-significant differences between the result sets validate the proposed indirect method, however the analysis evidenced two aspects that need improvement in the proposed system, namely the quality of the captured images to identify distresses with lower severity level and inspector training for proper allocation of severity levels during image analysis. This results in significant advantages considering that the total amount of the runway pavement area is inspected. Inspection time is reduced and data collection cost can be reduced. Processing and results visualization on GIS environment allows revaluation of the dataset on the in-vehicle method. Data interpretation and measurements quality control becomes simpler and faster.Elsevier BVuBibliorumSantos, BerthaAlmeida, Pedro Gabriel DeFeitosa, IancaLima, Débora2020-10-02T09:52:26Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/10448engB. Santos, P.G. Almeida, I. Feitosa, D. Lima, Validation of an indirect data collection method to assess airport pavement condition, Case Stud. Constr. Mater. (2020) e00419. https://doi.org/10.1016/j.cscm.2020.e00419.2214509510.1016/j.cscm.2020.e00419info: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:RCAAP2023-12-15T09:52:17Zoai:ubibliorum.ubi.pt:10400.6/10448Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:50:24.569261Repositório 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 |
Validation of an indirect data collection method to assess airport pavement condition |
title |
Validation of an indirect data collection method to assess airport pavement condition |
spellingShingle |
Validation of an indirect data collection method to assess airport pavement condition Santos, Bertha Airport pavement management system Data collection Image processing Statistical comparison |
title_short |
Validation of an indirect data collection method to assess airport pavement condition |
title_full |
Validation of an indirect data collection method to assess airport pavement condition |
title_fullStr |
Validation of an indirect data collection method to assess airport pavement condition |
title_full_unstemmed |
Validation of an indirect data collection method to assess airport pavement condition |
title_sort |
Validation of an indirect data collection method to assess airport pavement condition |
author |
Santos, Bertha |
author_facet |
Santos, Bertha Almeida, Pedro Gabriel De Feitosa, Ianca Lima, Débora |
author_role |
author |
author2 |
Almeida, Pedro Gabriel De Feitosa, Ianca Lima, Débora |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Santos, Bertha Almeida, Pedro Gabriel De Feitosa, Ianca Lima, Débora |
dc.subject.por.fl_str_mv |
Airport pavement management system Data collection Image processing Statistical comparison |
topic |
Airport pavement management system Data collection Image processing Statistical comparison |
description |
The authors acknowledge University of Beira Interior, CERIS - Civil Engineering Research and Innovation for Sustainability (ECI/04625), GEOBIOTEC - GeoBioSciences, GeoTechnologies and GeoEngineering (GEO/04035) and ASA SA, Cape Verde Airports and Air Safety for support and funding of this study. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-02T09:52:26Z 2020 2020-01-01T00:00:00Z |
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/10400.6/10448 |
url |
http://hdl.handle.net/10400.6/10448 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
B. Santos, P.G. Almeida, I. Feitosa, D. Lima, Validation of an indirect data collection method to assess airport pavement condition, Case Stud. Constr. Mater. (2020) e00419. https://doi.org/10.1016/j.cscm.2020.e00419. 22145095 10.1016/j.cscm.2020.e00419 |
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 |
Elsevier BV |
publisher.none.fl_str_mv |
Elsevier BV |
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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136394656874496 |