Health Monitoring and Maintenance of Road Pavements Using Emerging Sensing Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 2669
Special Issue Editors
Interests: road pavements; infrastructures; asphalt materials; self-sensing materials; pavement health monitoring; smart materials; multifunctional pavements; sensors; non-destructive testing; digitalization; bitumen; nanomaterials; road infrastructure monitoring; pavement engineering; self-healing technologies
Interests: asphalt pavement maintenance; self-healing pavement materials; recycling of pavement materials; bituminous materials; multifunctional pavements
Special Issues, Collections and Topics in MDPI journals
Interests: infrastructure monitoring; road pavements; persistent scatterers; SAR interferometry; sensors; bridge monitoring; structural monitoring; remote sensing; surface displacements; urban subsidence analysis; critical infrastructure monitoring road maintenance; bridge management systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit your research to the upcoming Special Issue of Sensors, entitled “Health Monitoring and Maintenance of Road Pavements Using Emerging Sensing Technologies”.
The monitoring of transport assets, especially road pavements, plays an essential role in aiding decision makers as they strive to formulate effective strategies for the assessment and maintenance of these vital assets over time. This research area is crucial due to its potential to enable administrative authorities and transport managers to enhance the resilience of road pavements to the challenges posed by aging, increases in traffic flows and, more generally, by climate change. In this context, health monitoring and maintenance operations are also fundamental to ensuring structural stability and operational safety.
The Special Issue aims to offer a comprehensive examination of recent advances in sensing technologies applicable to the health monitoring and maintenance operations of transport infrastructure systems, with a particular focus on road pavements, the implementation of emerging sensing technologies, and working at different scales. Within this context, we welcome applications focused on road health monitoring via cutting-edge sensors using ground-based (embedded sensors, intrinsic self-sensing materials, IoT, accelerometers), aerial (airborne Lidar and UAV) and spaceborne (satellite imageries) technologies. Furthermore, this SI aims to collect advanced research papers related to the exploration of how emerging sensing systems can be processed, analyzed, and effectively applied via the implementation of advanced processing techniques, including digital signal processing (DSP), machine learning and DNNs. These technologies also have use augmented and virtual reality tools (AR/VR).
This Special Issue aims to present an overview of high-quality original research papers discussing recent developments and advances in emerging sensing technologies applied to road pavements. Therefore, authors are encouraged to submit papers that focus on topics such as the application of new technologies, approaches, or applications for road pavements, monitoring, rehabilitation, and conservation, emphasizing novel perspectives on pavement management systems (PMS). Additionally, review papers addressing the aforementioned research areas are welcomed.
Dr. Federico Gulisano
Prof. Dr. Juan Gallego Medina
Dr. Valerio Gagliardi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sensing systems
- pavement health monitoring
- embedded sensors
- self-sensing materials
- spaceborne (SAR, optical, multispectral) aerial (UAVs) and ground-based sensing applications for road health monitoring
- non-destructive testing surveys
- digital signal processing (DSP) in sensor applications
- pavement management systems (PMS)
- predictive and condition-based road maintenance
- machine learning, augmented and virtual reality tools
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Planner Paper 1:
Type of Paper: Article
Tentative Title: Modelling asphalt overlay as-built roughness based on profile transformation. Case for paver using automatic levelling system
Authors: Rodrigo Díaz-Torrealba; José Ramón Marcobal; Juan Gallego
Affiliations: Departamento de Ingeniería del Transporte, Territorio y Urbanismo, Universidad Politécnica de Madrid, Madrid, Spain
Abstract: The smoothness achieved in pavement construction, or as-built roughness, has great importance in road engineering since it serves as an indicator for both the level of service provided to users and the overall standard of construction quality. Being able to predict as-built roughness is therefore important for supporting pavement design and management decision-making. An as-built IRI prediction model for asphalt overlays based on profile transformation was proposed in a previous study. The model, used as basis for this work, was developed for the case of wheeled pavers without automatic screed levelling.
This study presents further development of the base prediction model, including the use of an automatic screed control system through a long-distance averaging mobile reference. Formulation of linear systems that constitute the model are presented for the case of a wheeled paver using contactless acoustic sensors set-up over a floating levelling beam attached to the paver. Longitudinal profile data from the Long-Term Pavement Performance SPS-5 experiment was used to calibrate the model, obtaining a mean error of 0.17 m/km for the predicted IRI. The results obtained demonstrate the potential of the proposed approach as a modelling alternative.
