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Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS

2019-09Journal article Open access
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dc.contributor.authorSantos, Bertha
dc.contributor.authorAlmeida, Pedro Gabriel De
dc.contributor.authorMaganinho, Leonor Graciete de Oliveira
dc.date.accessioned2020-01-13T10:41:01Z
dc.date.available2020-01-13T10:41:01Z
dc.date.issued2019-09
dc.description.abstractTraffic 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBertha Santos et al 2019 IOP Conf. Ser.: Mater. Sci. Eng. 603 042083pt_PT
dc.identifier.doi10.1088/1757-899X/603/4/042083pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8239
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIOP Conference Seriespt_PT
dc.relation.publisherversionhttps://iopscience.iop.org/article/10.1088/1757-899X/603/4/042083/pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRoad Pavement Conditionpt_PT
dc.subjectData Collectionpt_PT
dc.subjectVideo Imagept_PT
dc.subjectGISpt_PT
dc.subjectGNSSpt_PT
dc.titleData Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GISpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage042083pt_PT
oaire.citation.titleIOP Conference Series: Materials Science and Engineeringpt_PT
oaire.citation.volume603pt_PT
person.familyNameSantos
person.familyNameAlmeida
person.givenNameBertha
person.givenNamePedro Gabriel de Faria Lapa Barbosa de
person.identifier0000000070515684
person.identifier.ciencia-idBE1A-879F-8282
person.identifier.ciencia-id1117-C2D6-DA23
person.identifier.orcid0000-0002-5545-892X
person.identifier.orcid0000-0003-2810-5966
person.identifier.scopus-author-id54880406000
person.identifier.scopus-author-id12796214600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication444d1a96-ae0d-4778-93d1-8fcbf30ec96a
relation.isAuthorOfPublication1b3dce01-0969-45a4-a37d-366d76578f94
relation.isAuthorOfPublication.latestForDiscovery444d1a96-ae0d-4778-93d1-8fcbf30ec96a

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