Sustainable and Digital Transformation of Road Infrastructures, 2nd Edition

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

Deadline for manuscript submissions: 31 January 2027 | Viewed by 583

Editors


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Guest Editor
Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: asphalt materials; bitumen modification; ecomaterials; waste incorporation; recycling; warm mix asphalt; rheological characterization; pavement sensor monitoring
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Guest Editor
Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: life-cycle assessment; maintenance and rehabilitation of road pavements; sustainability; pavement preservation; pavement recycling; warm mix asphalts; grouted macadams; pavement digitalisation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil Engineering, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, Greece
Interests: sustainable pavements; recycled and bio-based materials; the performance assessment of road infrastructure

Special Issue Information

Dear Colleagues,

Building on the success of the first edition of the Special Issue “Sustainable and Digital Transformation of Road Infrastructures”, this second edition aims to further advance the discussion at a time when climate pressure, resource constraints, and digital disruption are reshaping transport infrastructure globally.

The rapid pace of technological development, together with increasingly ambitious sustainability and resilience targets, calls for innovative construction, maintenance, and management strategies for road infrastructures. Recent research and large-scale initiatives highlight the need to integrate low-carbon and bio-sustainable materials, high-recycling solutions, and energy-efficient technologies with advanced digital tools that support data-driven decision-making throughout the infrastructure life cycle.

This second edition seeks to capture emerging advances and results arising from recent research and innovation projects aligned with resilient and sustainable transport infrastructure. Particular emphasis is placed on innovative materials and techniques, climate resilience assessment, digital twins, intelligent monitoring systems, and the evaluation of societal and environmental impacts. Contributions addressing the interaction between sustainability, digitalisation, and policy implementation are also encouraged.

By fostering interdisciplinary research and bridging laboratory developments, field applications, and digital intelligence, this Special Issue aims to support the transition towards road infrastructure that is not only more sustainable and resilient, but also smarter, more adaptive, and better aligned with future societal needs.

Dr. Hugo M. R. D. Silva
Dr. Joel R. M. Oliveira
Dr. Evangelos Manthos
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-anonymized 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.

Keywords

  • sustainable road infrastructures
  • digital transformation
  • climate-resilient pavements
  • innovative construction and maintenance
  • recycled and bio-based materials
  • digital twins
  • intelligent monitoring and sensing
  • data-driven asset management
  • life-cycle and resilience assessment
  • low-carbon transport infrastructure

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Published Papers (1 paper)

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Research

13 pages, 877 KB  
Article
Network-Level Urban Pavement Optimization Using Priority-Based Genetic Algorithm Methodology
by Promothes Saha
Infrastructures 2026, 11(5), 168; https://doi.org/10.3390/infrastructures11050168 - 12 May 2026
Viewed by 320
Abstract
Pavement management systems (PMS) are essential for formulating a cost-effective capital improvement plan (CIP) that adheres to budget constraints. Optimization techniques are vital in enhancing the efficiency of these plans. Among the various methods available, genetic algorithms (GA) are particularly effective at identifying [...] Read more.
Pavement management systems (PMS) are essential for formulating a cost-effective capital improvement plan (CIP) that adheres to budget constraints. Optimization techniques are vital in enhancing the efficiency of these plans. Among the various methods available, genetic algorithms (GA) are particularly effective at identifying optimal solutions in complex scenarios. This study introduces a GA-based priority optimization model designed to select the most beneficial road improvement projects while staying within budgetary limits. The model was applied to the extensive road network of Fort Wayne, Indiana, considering critical factors such as budget allocation, roadway classification, PASERs, treatment options, and associated costs. The results demonstrate the model’s effectiveness in prioritizing projects, ensuring that available funds are utilized to achieve maximum impact on roadway conditions. By leveraging GA, this approach not only enhances decision-making processes but also provides a robust framework for future pavement management efforts. Overall, the integration of genetic algorithms into PMS can lead to more strategic and economically sound infrastructure improvements. Full article
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