Sustainable and Digital Transformation of Road Infrastructures

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

Deadline for manuscript submissions: 31 March 2025 | Viewed by 12812

Special Issue Editors

Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: asphalt materials; bitumen modification; ecomaterials; waste incorporation; recycling; warm mix asphalt; advanced characterization
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Guest Editor
Department of Civil Engineering, 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
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Traditional construction processes and materials used for road infrastructure no longer respond to the needs of a constantly changing society. Therefore, a sustainable and digital transformation of road pavements is essential to deal with limited available resources and the need for more efficient construction processes integrating sustainable and intelligent materials.

Road infrastructures are essential to how our society lives in a global market, and their sustainability is essential to ensure adequate living conditions for future generations. All current efforts to promote sustainability are crucial to meet most UN sustainable development goals.

The digital transformation of road infrastructures is also imperative to meet the challenges of competitiveness and productivity at the international level. Several digital tools have recently been developed to deal with the high amounts of data available and to support road construction and life cycle analyses. These tools will facilitate the introduction of the digital twin and building information modeling (BIM) concepts in road infrastructures, using research in cutting-edge digital areas such as augmented reality, sensing and monitoring, AI, machine learning, big data, and IoT, among others.

The present Special Issue aims to gather a series of manuscripts related to sustainable road infrastructures and their digital transformation. We invite submissions on recycled, bio-derived, and alternative sustainable materials; low energy-consuming technologies; and the life-cycle assessment of road paving technologies and materials. The road infrastructure of the future should be prepared for the demands of climate change and sustainability challenges. New digital technologies and intelligent materials are essential to achieve that objective, as they sense and monitor the road to obtain real-time data and improve asset management. Therefore, manuscripts focusing on digital twins, BIM, augmented reality, sensing and monitoring, AI, machine learning, big data, IoT, or the social aspects of their use in transport infrastructure are welcome. Additionally, papers concerned with the policies and implementation of sustainable and digital practices would be appreciated.

Dr. Hugo Silva
Dr. Joel R. M. Oliveira
Guest Editors

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Keywords

  • sustainability
  • recycling
  • waste incorporation
  • warm mix asphalts
  • bio-binders
  • life-cycle assessment
  • circular economy
  • energy-efficient technologies
  • road monitoring
  • sensors
  • building information modeling
  • digital twins
  • artificial intelligence
  • machine learning
  • Internet of things
  • big data

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Published Papers (7 papers)

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Research

18 pages, 5811 KiB  
Article
Effect of Olive Waste Ash as a Partial Replacement of Cement on the Volume Stability of Cement Paste
by Safa Ghazzawi, Hassan Ghanem, Jamal Khatib, Samer El Zahab and Adel Elkordi
Infrastructures 2024, 9(11), 193; https://doi.org/10.3390/infrastructures9110193 - 29 Oct 2024
Viewed by 709
Abstract
Over the last decades, concrete has been excessively prone to cracks resulting from shrinkage. These dimensional changes can be affected by the incorporation of supplementary cementitious materials. This work used olive waste ash (OWA), which could substantially tackle this problem and achieve sustainability [...] Read more.
Over the last decades, concrete has been excessively prone to cracks resulting from shrinkage. These dimensional changes can be affected by the incorporation of supplementary cementitious materials. This work used olive waste ash (OWA), which could substantially tackle this problem and achieve sustainability goals. For this issue, five cement paste mixes were prepared by replacing cement with OWA at different percentages varying from 0 to 20% by weight with a constant increment of 5%. The water-to-cement ratio was 0.45 for all mixes. Compressive strength and flexural strength were investigated at 7, 28, and 90 days. In addition, three shrinkage tests (drying, autogenous, and chemical) and expansion tests were also conducted for each mix and measured during 90 days of curing. The experimental findings indicated that there was a loss in compressive and flexural strength in the existence of OWA. Among all mixes containing OWA, the samples incorporating 10% OWA exhibited maximum strength values. Furthermore, the chemical and autogenous shrinkage decreased with the incorporation of OWA. However, the drying shrinkage decreased at lower levels of substitutions and increased at higher replacement levels. In addition, there was a growth in expansion rates for up to 10% of OWA content, followed by a decrease at higher levels (beyond 10%). Additionally, correlations between these volumetric stability tests were performed. It was shown that a positive linear correlation existed between chemical shrinkage and autogenous and drying shrinkage; however, there was a negative relationship between chemical shrinkage and expansion. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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12 pages, 2258 KiB  
Article
Estimation of Pavement Condition Based on Data from Connected and Autonomous Vehicles
by David Llopis-Castelló, Francisco Javier Camacho-Torregrosa, Fabio Romeral-Pérez and Pedro Tomás-Martínez
Infrastructures 2024, 9(10), 188; https://doi.org/10.3390/infrastructures9100188 - 18 Oct 2024
Viewed by 825
Abstract
Proper road network maintenance is essential for ensuring safety, reducing transportation costs, and improving fuel efficiency. Traditional pavement condition assessments rely on specialized equipment, limiting the frequency and scope of inspections due to technical and financial constraints. In response, crowdsourcing data from connected [...] Read more.
Proper road network maintenance is essential for ensuring safety, reducing transportation costs, and improving fuel efficiency. Traditional pavement condition assessments rely on specialized equipment, limiting the frequency and scope of inspections due to technical and financial constraints. In response, crowdsourcing data from connected and autonomous vehicles (CAVs) offers an innovative alternative. CAVs, equipped with sensors and accelerometers by Original Equipment Manufacturers (OEMs), continuously gather real-time data on road conditions. This study evaluates the feasibility of using CAV data to assess pavement condition through the International Roughness Index (IRI). By comparing CAV-derived data with traditional pavement auscultation results, various thresholds were established to quantitatively and qualitatively define pavement conditions. The results indicate a moderate positive correlation between the two datasets, particularly in segments with good-to-satisfactory surface conditions (IRI 1 to 2.5 dm/km). Although the IRI values from CAVs tended to be slightly lower than those from auscultation surveys, this difference can be attributed to driving behavior. Nonetheless, our analysis shows that CAV data can be used to reliably identify pavement conditions, offering a scalable, non-destructive, and continuous monitoring solution. This approach could enhance the efficiency and effectiveness of traditional road inspection campaigns. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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23 pages, 6685 KiB  
Article
Evaluation of Pigment-Modified Clear Binders and Asphalts: An Approach towards Sustainable, Heat Harvesting, and Non-Black Pavements
by Gul Badin, Naveed Ahmad, Ying Huang and Yasir Mahmood
Infrastructures 2024, 9(5), 88; https://doi.org/10.3390/infrastructures9050088 - 17 May 2024
Cited by 3 | Viewed by 1618
Abstract
Pavement construction practices have evolved due to increasing environmental impact and urban heat island (UHI) effects, as pavements, covering over 30% of urban areas, contribute to elevated air temperatures. This study introduces heat-reflective pavements, by replacing conventional black bitumen with a clear binder [...] Read more.
Pavement construction practices have evolved due to increasing environmental impact and urban heat island (UHI) effects, as pavements, covering over 30% of urban areas, contribute to elevated air temperatures. This study introduces heat-reflective pavements, by replacing conventional black bitumen with a clear binder and pigment-modified clear binders. Titanium dioxide white, zinc ferrite yellow, and iron oxide red pigments are used to give asphalt corresponding shades. The asphalt and bitumen specimens were subjected to thermal analysis in heat sinks, under varying solar fluxes. The pigment dosage was maintained at 4%, according to the weight of the total mix, for all pigment types. The samples were heated and cooled for 3 h and 2 h, respectively. Mechanical testing was conducted to ascertain the impact of temperature variations on both the neat clear binder (C.B) and pigmented C.B and asphalt mixture samples. Wheel tracking and dynamic modulus tests were conducted to evaluate their performance under high temperatures. The results indicate that non-black asphalt mixtures exhibit significant temperature reductions, up to 9 °C, which are further enhanced by pigmented binders, up to 11 °C. It was found that asphalt with a clear or transparent binder demonstrated lower temperatures and faster heat dissipation in extreme conditions. Moreover, C.B asphalt mixtures displayed a rut resistance of 15%, with the pigmented C.B asphalt mixture showing a remarkable rut resistance of 73%, outperforming conventional asphalt. Non-black mixtures, especially C.B + zinc ferrite, showed improved resistance to permanent deformation in dynamic modulus tests. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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21 pages, 10787 KiB  
Article
Towards Sustainable Road Pavements: Sound Absorption in Rubber-Modified Asphalt Mixtures
by Freddy Richard Apaza, Víctoriano Fernández Vázquez, Santiago Expósito Paje, Federico Gulisano, Valerio Gagliardi, Leticia Saiz Rodríguez and Juan Gallego Medina
Infrastructures 2024, 9(4), 65; https://doi.org/10.3390/infrastructures9040065 - 25 Mar 2024
Viewed by 2014
Abstract
In the last decade, various asphalt paving materials have undergone investigation for sound attenuation purposes. This research aims to delve into the innovative design of sustainable road pavements by examining sound absorption in rubber-modified asphalt mixtures. More specifically, the impact of alternative sustainable [...] Read more.
In the last decade, various asphalt paving materials have undergone investigation for sound attenuation purposes. This research aims to delve into the innovative design of sustainable road pavements by examining sound absorption in rubber-modified asphalt mixtures. More specifically, the impact of alternative sustainable materials on the sound absorption of asphalt mixtures across different temperatures, precisely crumb rubber (CR) derived from recycling of end-of-life tires, was investigated. The acoustic coefficient and its Gaussian fit parameters (Peak, BandWidth, and Area Under the Curve) were evaluated. Five different types of asphalt mixtures were studied, encompassing dense, discontinuous, and open mixtures with 0%, 0.75%, and 1.50% CR incorporated through the dry process (DP). The results of sound absorption indicated a slight influence of crumb rubber at temperatures ranging from 10 °C to 60 °C, particularly in mixtures with high void content. On the other hand, as expected, the void content proved to be highly correlated with sound absorption. These findings facilitated the establishment of predictive models that correlate acoustic absorption spectra with the characteristics of asphalt mixtures. As a result, these models will be valuable in the design of the next generation of sound-absorbing pavements. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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21 pages, 17818 KiB  
Article
Conceptual Design of Public Charging Stations for Freight Road Transport
by Jakub Hospodka, Jindřich Sadil, Helena Bínová, Kekula František, Hykš Oldřich, Hykšová Magdalena and Neubergová Kristýna
Infrastructures 2024, 9(1), 7; https://doi.org/10.3390/infrastructures9010007 - 27 Dec 2023
Viewed by 2103
Abstract
We present a comprehensive methodology for a two-step approach to address the task at hand. The first step involves the optimal placement of charging stations, while the second step focuses on determining the necessary capacity of the charging stations based on traffic factors. [...] Read more.
We present a comprehensive methodology for a two-step approach to address the task at hand. The first step involves the optimal placement of charging stations, while the second step focuses on determining the necessary capacity of the charging stations based on traffic factors. This methodology is applicable to countries, states, or specific areas where the placement and optimization of charging stations for truck road transport are being considered. We identify the key inputs required for solving such a task. In the results section, we demonstrate the outcomes using a model example for the Czech Republic. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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18 pages, 3248 KiB  
Article
A Big Data System Architecture to Support the Monitoring of Paved Roads
by Jorge Oliveira e Sá, Francisco Rebelo, Diogo Silva, Gabriel Teles, Diogo Ramos and José Romeu
Infrastructures 2023, 8(12), 167; https://doi.org/10.3390/infrastructures8120167 - 24 Nov 2023
Cited by 2 | Viewed by 2137
Abstract
Today, everything is connected, including the exchange of data and the generation of new information. As a result, large amounts of data are being collected at an ever-increasing rate and in a variety of forms, a phenomenon now known as Big Data. Recent [...] Read more.
Today, everything is connected, including the exchange of data and the generation of new information. As a result, large amounts of data are being collected at an ever-increasing rate and in a variety of forms, a phenomenon now known as Big Data. Recent developments in information and communication technologies are driving the generation of significant amounts of data from multiple sources, namely sensors. In response to these technological advances and data challenges, this paper proposes a Big Data system architecture for paved road monitoring and implements part of this architecture on a section of road in Portugal as a case study. The challenge in the case study architecture is to collect and process sensor data in real time, at a rate of 500 records per second, producing 15 GBytes of data per day, using a real-time data stream for real-time monitoring and a batch data stream for deeper analysis. This allows users to obtain instant updates on road conditions such as the number of vehicles, loads, weather, and pavement temperatures on the road. They can monitor what is happening on the road in real time, receive alerts, and even gain insight into historical data, such as analysing the condition of structures or identifying traffic patterns. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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23 pages, 11968 KiB  
Article
Installation and Use of a Pavement Monitoring System Based on Fibre Bragg Grating Optical Sensors
by Francisco J. P. Rebelo, Joel R. M. Oliveira, Hugo M. R. D. Silva, Jorge Oliveira e Sá, Vânia Marecos and João Afonso
Infrastructures 2023, 8(10), 149; https://doi.org/10.3390/infrastructures8100149 - 13 Oct 2023
Cited by 1 | Viewed by 2117
Abstract
The evolution of technological tools, namely affordable sensors for data collection, and the growing concerns about maintaining roads in adequate conditions have promoted the development of continuous pavement monitoring systems. This paper presents the installation and use of an innovative pavement monitoring system, [...] Read more.
The evolution of technological tools, namely affordable sensors for data collection, and the growing concerns about maintaining roads in adequate conditions have promoted the development of continuous pavement monitoring systems. This paper presents the installation and use of an innovative pavement monitoring system, which was developed to measure the effects of vehicle loads and temperature on the performance of a pavement structure. The sensors used are based on fibre Bragg grating optical technology, collecting data about the strains imposed in the pavement and the temperature at which those measurements are made. The site selection for the system’s installation and the essential installation details to ensure successful data collection are addressed. A calibration procedure was implemented by performing falling weight deflectometer tests and passing preweighed heavy vehicles over the sensors. In addition to validating the system installation, the results obtained in the calibration confirmed the importance of adequately choosing the distance between sensors. Differences of 50 mm in the position of the load may cause differences of about 20% to 25% in the resulting strains. These results confirmed the importance of increasing the sensor concentration in wheel paths. Furthermore, for loads between 25 kN and 65 kN, raising the temperature by 8 °C caused an increase of about 20% in the horizontal tensile strains measured in the pavement. In summary, it was possible to conclude that this innovative system is capable of capturing the effects of temperature and vehicle speed on the response of the pavement, which may be considered an advantage of this type of monitoring system when compared to those that are only used to determine the loads applied to the pavement or to characterise the type of vehicle. Full article
(This article belongs to the Special Issue Sustainable and Digital Transformation of Road Infrastructures)
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