Maintaining Integrity, Performance and Safety of the Road Infrastructure through Autonomous Robotized Solutions and Modularization

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 558

Special Issue Editor


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Guest Editor
CINTECX, Universidade de Vigo. Applied Geotechnologies Group, 36310 Vigo, Spain
Interests: infrastructure monitoring; mobile laser scanners; road safety; machine learning; unmanned aerial systems; image analytics
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Special Issue Information

Dear Colleagues,

Road infrastructure plays a crucial role in facilitating both intra- and inter-country movement of people and goods, highlighting the importance of their effective management; yet, despite significant efforts to enhance road user safety, with 4% of accidents occurring in these areas, work zone safety remains a concern. Recognizing these critical aspects of road infrastructure in European social and economic development, the need to advance automation, robotics, and modularization in construction, upgrades, and maintenance has become clear.

InfraROB, a project funded by the European Commission’s Horizon 2020 initiative, aims to mitigate risks to construction workers and road users by leveraging automation and robotics to replace repetitive tasks and minimize exposure to live traffic and construction machinery. The primary objectives include enhancing worker safety, optimizing transport network availability, reducing the cost of repetitive tasks, and ensuring the safety of road users.

Focusing primarily on roadbeds and pavements, InfraROB targets the most critical elements of road infrastructure by developing autonomous systems for repaving, crack and pothole repair, and line marking, specifically tailored to asphalt pavements, which comprise 90% of Europe's paved roads. Additionally, collaborative robotized safety systems, including safety cones and remotely piloted aircraft systems (RPASs), have been framed and will be deployed to enhance on-site safety through image analytics based on deep learning approaches.

Another innovation consists of the creation of multifunctional precast concrete elements that serve both as roadside safety barriers and road construction elements, enhancing modularization in road design and construction. Upgrades to traffic and maintenance management systems will facilitate the coordinated deployment of automated road maintenance robots, further improving operational safety.

This comprehensive approach seeks to optimize road infrastructure management, enhance worker safety, and ensure the uninterrupted flow of traffic, aligning with the goals of economic growth and sustainability outlined by the European Commission. Through collaborative efforts at the European level, the project aims to accelerate the adoption of automation, robotics, and modularization in road infrastructure management, thereby fostering safer and more efficient transportation networks across Europe.

Dr. Joaquín Martínez-Sánchez
Guest Editor

Manuscript Submission Information

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Keywords

  • road worker safety
  • robotics and automation
  • road maintenance efficiency
  • artificial intelligence and deep learning
  • innovative pavement maintenance models
  • road users awareness

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Published Papers (1 paper)

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Research

17 pages, 26942 KiB  
Article
A Small Robot to Repair Asphalt Road Potholes
by Salvatore Bruno, Giuseppe Cantisani, Antonio D’Andrea, Giulia Del Serrone, Paola Di Mascio, Kristian Knudsen, Giuseppe Loprencipe, Laura Moretti, Carlo Polidori, Søren Thorenfeldt Ingwersen, Loretta Venturini and Marco Zani
Infrastructures 2024, 9(11), 210; https://doi.org/10.3390/infrastructures9110210 - 20 Nov 2024
Viewed by 288
Abstract
As part of the Horizon 2020 InfraROB project aimed at enhancing road safety through innovative robotic solutions, a compact autonomous vehicle has been developed to repair asphalt potholes. Central to this system is a 3D printer capable of extruding a novel cold-asphalt mixture, [...] Read more.
As part of the Horizon 2020 InfraROB project aimed at enhancing road safety through innovative robotic solutions, a compact autonomous vehicle has been developed to repair asphalt potholes. Central to this system is a 3D printer capable of extruding a novel cold-asphalt mixture, specifically designed for patching road surfaces. The printer is mounted on a small robot that autonomously navigates to potholes, while the human operator controls the operation from a secure location outside the traffic area. The system’s development involved several key steps: designing the repair mixture, constructing the 3D printer for mixture extrusion, implementing a photogrammetric technique to accurately measure pothole geometry for printing, and integrating the extrusion system with the robotic platform. Two preliminary tests were conducted in controlled environments at Sapienza University of Rome to check the reliability of calculation of the amount of material needed to fill in the potholes. Finally, the entire procedure was tested on an Italian motorway, demonstrating the system’s functionality without encountering operational issues. Full article
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