In Situ Pavement Monitoring: A Review
The assessment of pavement conditions and their evolution with time is a crucial component for the establishment of pavement quality management (QM) plans and the implementation of QM practices. An effective pavement management system (PMS) is based on pavement conditions data continuously collected...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/5/2/18 |
| _version_ | 1828484092752035840 |
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| author | Maria Barriera Simon Pouget Bérengère Lebental Julien Van Rompu |
| author_facet | Maria Barriera Simon Pouget Bérengère Lebental Julien Van Rompu |
| author_sort | Maria Barriera |
| collection | DOAJ |
| description | The assessment of pavement conditions and their evolution with time is a crucial component for the establishment of pavement quality management (QM) plans and the implementation of QM practices. An effective pavement management system (PMS) is based on pavement conditions data continuously collected along the lifetime of a road. These data are used to model the pavement response, evaluate its performances, and trigger the necessary maintenance actions when they do not meet previously defined performance indicators. In the last decades, pavement monitoring via embedded sensing technologies has attracted more and more attention. Indeed, the integration of sensors in the road pavement allows the assessment of the complete history of pavement conditions, starting from sensor installation. Once the technologies are stabilized, collecting this information is expected to help road managers to define more effective asset management plans. This paper first proposes an overview of the most used devices for pavement instrumentation, categorized according to the measured parameters. Then a review of some prominent instrumented sections is presented by focusing on the methodology used for data interpretation. |
| first_indexed | 2024-12-11T08:49:58Z |
| format | Article |
| id | doaj.art-2140b6c6d21c42dfaba53dd8bd6ec1da |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-12-11T08:49:58Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-2140b6c6d21c42dfaba53dd8bd6ec1da2022-12-22T01:14:02ZengMDPI AGInfrastructures2412-38112020-02-01521810.3390/infrastructures5020018infrastructures5020018In Situ Pavement Monitoring: A ReviewMaria Barriera0Simon Pouget1Bérengère Lebental2Julien Van Rompu3EIFFAGE Infrastructures GD—Research and Innovation Department, F-69964 Corbas Cedex, FranceEIFFAGE Infrastructures GD—Research and Innovation Department, F-69964 Corbas Cedex, FranceCOSYS-LISIS, Université Gustav Eiffel, IFSTTAR, F-77454 Marne-la-Vallée, FranceEIFFAGE Infrastructures GD—Research and Innovation Department, F-69964 Corbas Cedex, FranceThe assessment of pavement conditions and their evolution with time is a crucial component for the establishment of pavement quality management (QM) plans and the implementation of QM practices. An effective pavement management system (PMS) is based on pavement conditions data continuously collected along the lifetime of a road. These data are used to model the pavement response, evaluate its performances, and trigger the necessary maintenance actions when they do not meet previously defined performance indicators. In the last decades, pavement monitoring via embedded sensing technologies has attracted more and more attention. Indeed, the integration of sensors in the road pavement allows the assessment of the complete history of pavement conditions, starting from sensor installation. Once the technologies are stabilized, collecting this information is expected to help road managers to define more effective asset management plans. This paper first proposes an overview of the most used devices for pavement instrumentation, categorized according to the measured parameters. Then a review of some prominent instrumented sections is presented by focusing on the methodology used for data interpretation.https://www.mdpi.com/2412-3811/5/2/18monitoringinstrumentationroad pavementsensors |
| spellingShingle | Maria Barriera Simon Pouget Bérengère Lebental Julien Van Rompu In Situ Pavement Monitoring: A Review Infrastructures monitoring instrumentation road pavement sensors |
| title | In Situ Pavement Monitoring: A Review |
| title_full | In Situ Pavement Monitoring: A Review |
| title_fullStr | In Situ Pavement Monitoring: A Review |
| title_full_unstemmed | In Situ Pavement Monitoring: A Review |
| title_short | In Situ Pavement Monitoring: A Review |
| title_sort | in situ pavement monitoring a review |
| topic | monitoring instrumentation road pavement sensors |
| url | https://www.mdpi.com/2412-3811/5/2/18 |
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