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Open AccessReview

In Situ Pavement Monitoring: A Review

1
EIFFAGE Infrastructures GD—Research and Innovation Department, F-69964 Corbas Cedex, France
2
COSYS-LISIS, Université Gustav Eiffel, IFSTTAR, F-77454 Marne-la-Vallée, France
3
LPICM, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, route de Saclay, F-91128 Palaiseau, France
*
Author to whom correspondence should be addressed.
Infrastructures 2020, 5(2), 18; https://doi.org/10.3390/infrastructures5020018
Received: 16 December 2019 / Revised: 24 January 2020 / Accepted: 30 January 2020 / Published: 7 February 2020
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. View Full-Text
Keywords: monitoring; instrumentation; road pavement; sensors monitoring; instrumentation; road pavement; sensors
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Barriera, M.; Pouget, S.; Lebental, B.; Van Rompu, J. In Situ Pavement Monitoring: A Review. Infrastructures 2020, 5, 18.

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