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Advances in Monitoring of Transportation Infrastructures

This special issue belongs to the section “Construction and Building Materials“.

Special Issue Information

Dear Colleagues,

In modern days, an efficient road/railway infrastructure operations require regular monitoring and timely maintenance. Inherently, these are multidisciplinary challenges that need to bring different disciplines to join their forces together to come up with innovative solutions. The understanding of the fundamentals of road/railway including infrastructure, materials, dynamics, serviceability, etc. is essential for real-life deployment of new methodologies. Further, in the latest years, these fields have observed innovative solutions by embedding latest technologies available for sensing, IoT, infrastructure asset management, big-data approaches, artificial intelligence, digitalization, etc. As such, key research works are being carried out around the globe aiming to improve the availability and sustainability of transportation infrastructure. The special issue aims to provide a unique platform where the state-of-the-art methodologies, applications and developments in transport infrastructures and construction materials are put together. This special issue also welcomes review papers.

Key topics:

  • New sensors and methodologies for monitoring transportation infrastructure and materials.
  • Structural performance and degradation modelling and monitoring for pavement and railway infrastructures.
  • Analysis of new material degradation, monitoring, and prediction, for durable, resilient, and low-maintenance pavement and railway infrastructures.
  • Recycling and sustainable methodologies for transportation infrastructure materials.  
  • New materials and new elements for environmentally friendly building/construction of road and railway infrastructures.
  • Analysis of case studies of failures/anomalies in transportation infrastructures.
  • Assessment and performance predictions of transportation infrastructures based on physical models, data-based models, and hybrid models.
  • AI-based methodologies for monitoring the transportation infrastructure.
  • Big-data approaches for a green and digital transportation infrastructures.
  • Challenges on digitalization, development of digital twins, and sustainability assessment of infrastructures.

Submissions considering applications in the broad sense of transportation infrastructure are welcome. For example, applications in road related to infrastructures for pedestrians, bicycles, cars, heavy trucks, airplanes, and for railway related to applications for metro, trams, ballasted and slab tracks, high speed lines, maglev, etc., are welcome.

Dr. Kumar Anupam
Dr. Alfredo Núñez Vicencio
Dr. Katerina Varveri
Dr. Zhen Yang
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 250 words) can be sent to the Editorial Office for assessment.

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. Materials 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

  • transportation infrastructure monitoring
  • AI-based tools in infrastructure monitoring
  • big-data approaches in infrastructure monitoring
  • new pavement/railway material
  • sustainability

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Materials - ISSN 1996-1944