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Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors

Stone pavements are present in many cities and their historical and cultural importance is well recognized. However, there are no standard monitoring methods for this type of pavement that allow road managers to define appropriate maintenance strategies. In this study, a novel method is proposed in...

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Detalles Bibliográficos
Autores principales: Bruno, Salvatore, Vita, Lorenzo, Loprencipe, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460728/
https://www.ncbi.nlm.nih.gov/pubmed/36081019
http://dx.doi.org/10.3390/s22176560
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author Bruno, Salvatore
Vita, Lorenzo
Loprencipe, Giuseppe
author_facet Bruno, Salvatore
Vita, Lorenzo
Loprencipe, Giuseppe
author_sort Bruno, Salvatore
collection PubMed
description Stone pavements are present in many cities and their historical and cultural importance is well recognized. However, there are no standard monitoring methods for this type of pavement that allow road managers to define appropriate maintenance strategies. In this study, a novel method is proposed in order to monitor the road surface conditions of stone pavements in a quick and easy way. Field tests were carried out in an Italian historic center using accelerometer sensors mounted on both a car and a bicycle. A post-processing phase of that data defined the comfort perception of the road users in terms of the a(wz) index, as described in the ISO 2631 standard. The results derived from the dynamic surveys were also compared with the corresponding values of typical pavement indicators such as the International Roughness Index (IRI) and the Pavement Condition Index (PCI), measured only on a limited portion of the urban road network. The network’s implementation in a Geographic Information System (GIS) represents the surveys’ results in a graphical database. The specifications of the adopted method require that the network is divided into homogeneous sections, useful for measurement campaign planning, and adopted for the GIS’ outputs representation. The comparisons between IRI-a(wz) (R(2) = 0.74) and PCI-a(wz) (R(2) = 0.96) confirmed that the proposed method can be used reliably to assess the stone pavement conditions on the whole urban road network.
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spelling pubmed-94607282022-09-10 Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors Bruno, Salvatore Vita, Lorenzo Loprencipe, Giuseppe Sensors (Basel) Article Stone pavements are present in many cities and their historical and cultural importance is well recognized. However, there are no standard monitoring methods for this type of pavement that allow road managers to define appropriate maintenance strategies. In this study, a novel method is proposed in order to monitor the road surface conditions of stone pavements in a quick and easy way. Field tests were carried out in an Italian historic center using accelerometer sensors mounted on both a car and a bicycle. A post-processing phase of that data defined the comfort perception of the road users in terms of the a(wz) index, as described in the ISO 2631 standard. The results derived from the dynamic surveys were also compared with the corresponding values of typical pavement indicators such as the International Roughness Index (IRI) and the Pavement Condition Index (PCI), measured only on a limited portion of the urban road network. The network’s implementation in a Geographic Information System (GIS) represents the surveys’ results in a graphical database. The specifications of the adopted method require that the network is divided into homogeneous sections, useful for measurement campaign planning, and adopted for the GIS’ outputs representation. The comparisons between IRI-a(wz) (R(2) = 0.74) and PCI-a(wz) (R(2) = 0.96) confirmed that the proposed method can be used reliably to assess the stone pavement conditions on the whole urban road network. MDPI 2022-08-31 /pmc/articles/PMC9460728/ /pubmed/36081019 http://dx.doi.org/10.3390/s22176560 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bruno, Salvatore
Vita, Lorenzo
Loprencipe, Giuseppe
Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title_full Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title_fullStr Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title_full_unstemmed Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title_short Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
title_sort development of a gis-based methodology for the management of stone pavements using low-cost sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460728/
https://www.ncbi.nlm.nih.gov/pubmed/36081019
http://dx.doi.org/10.3390/s22176560
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