Infrastructure Digitalization: Information Models, Smart Sensing and New Technologies towards a Digital Infrastructure

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 584

Special Issue Editors

E-Mail Website
Guest Editor
Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain
Interests: laser scanning; Infrastructure monitoring; BIM; IIM; IFC
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

During the last decade, remote sensing technologies such as laser scanners and satellites have been used to develop infrastructure-related applications from 3D point clouds and 2D imagery. Geometric and semantic information can be automatically extracted, saving costs in intensive tasks such as infrastructure inspection and inventory, and improving decision making in terms of the structural health assessment and maintenance management.

IOCI 2022, in its digitalization session, will promote contributions reaching beyond using infrastructure data (typically remotely sensed) to develop new methodologies and applications in the context of a digital, accessible and interoperable transportation infrastructure.

With a special focus on road and railway infrastructure, this Special Issue aims to collect new knowledge on the following main aspects:

  • Digital twins for infrastructure digitalization; this aspect covers:
    • The 3D parametrization and modelling of linear infrastructures and their assets, covering different combinations of geometry and information levels.
    • Efficient and user-friendly visualizations of sensed infrastructure feeding the digital twin with real-time data.
    • Usage of digital engines to develop digital twins and their exploitation for infrastructure-related simulations. Gamification and applications with a focus on final user engagement.
  • Sensing and actuation technologies for infrastructure health monitoring.
  • Infrastructure diagnostic and prognostics: predictive models.
  • Model definition and updating: special focus on the interoperability and the standardization of the infrastructure models.
  • Infrastructure safety assurance.

Dr. Mario Soilán
Dr. Ana Sánchez-Rodríguez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Infrastructures is an international peer-reviewed open access monthly 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 1800 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.


  • infrastructure digitalization
  • digital twins
  • remote sensing of the infrastructure
  • structural health monitoring
  • smart infrastructure inspection and maintenance

Published Papers

There is no accepted submissions to this special issue at this moment.
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