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Data Compression Approach for Long-Term Monitoring of Pavement Structures
Open AccessFeature PaperArticle

Towards More Sustainable Pavement Management Practices Using Embedded Sensor Technologies

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Nottingham Transportation Engineering Centre, University of Nottingham, Nottingham NG7 2RD, UK
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Dipartimento di Ingegneria, Scuola Politecnica, Edificio 8, Universitá degli Studi di Palermo, 90128 Palermo, Italy
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EIFFAGE Infrastructures GD—Research and Innovation Department, 8 rue du Dauphiné, CS 74005, CEDEX, 69964 Corbas, France
*
Authors to whom correspondence should be addressed.
Infrastructures 2020, 5(1), 4; https://doi.org/10.3390/infrastructures5010004
Received: 14 November 2019 / Revised: 20 December 2019 / Accepted: 26 December 2019 / Published: 30 December 2019
Road agencies are constantly being placed in difficult situations when making road maintenance and rehabilitation decisions as a result of diminishing road budgets and mounting environmental concerns for any chosen strategies. This has led practitioners to seek out new alternative and innovative ways of monitoring road conditions and planning maintenance routines. This paper considers the use of innovative piezo-floating gate (PFG) sensors and conventional strain gauges to continuously monitor the pavement condition and subsequently trigger maintenance activities. These technologies can help develop optimized maintenance strategies as opposed to traditional ad-hoc approaches, which often lead to poor decisions for road networks. To determine the environmental friendliness of these approaches, a case study was developed wherein a life cycle assessment (LCA) exercise was carried out. Observations from accelerated pavement testing over a period of three months were used to develop optimized maintenance plans. A base case is used as a guide for comparison to the optimized systems to establish the environmental impacts of changing the maintenance workflows with these approaches. On the basis of the results, the proposed methods have shown that they can, in fact, produce environmental benefits when integrated within the pavement management maintenance system. View Full-Text
Keywords: pavement management system; embedded sensors; piezoelectric sensors; accelerated pavement testing; life cycle assessment; environmental impact pavement management system; embedded sensors; piezoelectric sensors; accelerated pavement testing; life cycle assessment; environmental impact
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Manosalvas-Paredes, M.; Roberts, R.; Barriera, M.; Mantalovas, K. Towards More Sustainable Pavement Management Practices Using Embedded Sensor Technologies. Infrastructures 2020, 5, 4.

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