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What has been called the 'world’s first' pothole-fixing robot has just completed its first field test in the UK. Developed by Robotiz3d in collaboration with the University of Liverpool and Hertfordshire County Council (Hertfordshire CC), the robot passed the test with flying colours.

Called the Autonomous Road Repair System (ARRES) Prevent, the revolutionary highway maintenance robot incorporates imaging technology and artificial intelligence (AI) to detect, characterise, and repair potholes in situ. The robot conducted its first out-of-lab trial on March 6 while working on potholes on the roads of Potters Bar, Hertfordshire. 

“The test today is another step in the right direction towards solving the pothole problem this country faces. After another wet winter, we know we’re likely to see an increase in potholes forming as the road surface recovers from water getting into cracks,” said Councillor Reena Ranger, deputy executive member for Highways at Hertfordshire County Council.

“That’s why we’ve worked hard to fix over 40,000 potholes this year. Through the trial of new techniques and using this cutting-edge technology, we could potentially prevent the potholes from forming in the first place. We’re committed to maintaining our road network so that it remains one of the best in the country – we’re excited for the time we can welcome PREVENT officially to our team.” 

Fully autonomous pothole repairs

The ARRES Prevent robot utilises AI to identify cracks, potholes, and other road defects. It then automatically fills the cracks to prevent surface water from seeping in, which helps prevent the formation of potholes. This technology has the potential to save time and money while also reducing the inconvenience caused to road users by potholes. 

Robotiz3d and Hertfordshire CC believe ARRES can transform how potholes and road surface problems are addressed in Hertfordshire and worldwide. During the trial, ARRES Prevent detected potholes and successfully filled cracks to prevent potholes from forming. The next step is further trials to refine the vehicle before moving on to full production of the ARRES Prevent robot.

Hertfordshire CC and Robotiz3d have also explained that work is now under way on a larger version of the robot capable of fixing a wider range of defects. 

Screenshot of the ARRES Prvent robot fixing potholes. Source: Hertfordshire CC.

Save time and money

“We are dedicated to our mission to help build a safe and sustainable road infrastructure through intelligent, and automated maintenance and repair,” explained Sebastiano Fichera, co-founder and technical director from Robotiz3d.

Sebastiano Fichera, co-founder and technical director at Robotiz3d explained that ARRES PREVENT is an innovative solution that uses a combination of ARRES EYE (an advanced AI-powered road survey solution), cutting-edge robotics and unmanned mobility to perform crack sealing tasks autonomously.

He explained that the system is designed to reduce the number of potholes on roads by proactively sealing cracks before they become bigger problems. 

“This innovative technology has the potential to transform how we perform road maintenance and enhance the driver experience across Hertfordshire and beyond. It is said a stitch in time saves nine, and that prevention is better than cure – and likewise stopping cracks from growing into potholes could save a lot of future maintenance work,” said technology and decarbonisation minister Anthony Browne MP.

 

UK Council deploys world’s first pothole-fixing robot

Our built environment is ageing and failing faster than we can maintain it. Recent building collapses and structural failures of roads and bridges are indicators of a problem that's likely to get worse, according to experts, because it's just not possible to inspect every crack, creak and crumble to parse dangerous signs of failure from normal wear and tear.

In hopes of playing catch-up, researchers in Drexel University's College of Engineering are trying to give robotic assistants the tools to help inspectors with the job. 

Drexel researchers have created a multi-scale system that uses computer vision and machine learning programs to identify cracks in concrete and direct robotic scanning, modelling and monitoring.

Speed damage assessment

Augmenting visual inspection technologies – that have offered partial solutions to speed damage assessment in recent years – with a new machine learning approach, the researchers have created a system that they believe could enable efficient identification and inspection of problem areas by autonomous robots.

Reported in the journal Automation in Construction, their multiscale system combines computer vision with a deep-learning algorithm to pinpoint problem areas of cracking before directing a series of laser scans of the regions to create a 'digital twin' computer model that can be used to assess and monitor the damage. 

The system represents a strategy that would significantly reduce the overall inspection workload and enable the focused consideration and care needed to prevent structural failures.

"Cracks can be regarded as a patient's medical symptoms that should be screened in the early stages," the authors, Arvin Ebrahimkhanlou, PhD, an assistant professor, and Ali Ghadimzadeh Alamdari, a research assistant, both in Drexel's College of Engineering, wrote.

"Consequently, early and accurate detection and measurement of cracks are essential for timely diagnosis, maintenance, and repair efforts, preventing further deterioration and mitigating potential hazards."

Setting up a triage system

But right now, they note, so many of the USA's buildings, bridges, tunnels and dams are among the walking wounded that the first priority should be setting up a triage system.

Before the Bipartisan Infrastructure Law, the American Society of Civil Engineers estimated a backlog of $786bn in repairs to roads and bridges. Adding to the challenge is a growing shortage of skilled infrastructure workers – including inspectors and those who would repair ageing structures.

"Civil infrastructures include large-scale structures and bridges, but their defects are often small in scale," says Ebrahimkhanlou. "We believe taking a multi-scale robotic approach will enable efficient pre-screening of problem areas via computer vision and precise robotic scanning of defects using non-destructive, laser-based scans." 

Instead of a physical measurement interpreted subjectively by human eyes, the system uses a high-resolution stereo-depth camera feed of the structure into a deep-learning program called a convolutional neural network. These programs, which are being used for facial recognition, drug development and deep-fake detection, are gaining attention for their ability to spot the finest of patterns and discrepancies in massive volumes of data.

Training the algorithms on datasets of concrete structure images turns them into crack crack-spotters.

Identify crack-like patterns in images

"The neural network has been trained on a dataset of sample cracks, and it can identify crack-like patterns in the images that the robotic system collects from the surface of a concrete structure. We call regions containing such patterns, regions of interest," says Ebrahimkhanlou, who leads research on robotic and artificial-intelligence based assessment of infrastructure, mechanical and aerospace structures in Drexel's Department of Civil, Architectural, and Environmental Engineering.

Once the 'region of interest' – the cracked or damaged area – is identified, the program directs a robotic arm to scan over it with a laser line scanner, which creates a three-dimensional image of the damaged area.

At the same time a LiDAR (Light Detection and Ranging) camera scans the structure surrounding the crack. Stitching both plots together creates a digital model of the area that shows the width and dimensions of the crack and allows tracking changes in between inspections.

"Tracking crack growth is one of the advantages of producing a digital twin model," says Alamdari. "In addition, it allows bridge owners to have a better understanding of the condition of their bridge, and plan maintenance and repair."

The team tested the system in the lab on a concrete slab with a variety of cracks and deterioration. In a test of its ability to detect and measure small cracks, the system was sensitive enough to pinpoint and accurately size up the smallest of fissures – less than a hundredth of a millimetre wide – outperforming top-of-the-line cameras, scanners and fibre optic sensors by a respectable margin.

While human inspectors would still make the final call on when and how to repair the damages, the robotic assistants could greatly reduce their workload, according to the researchers. In addition, an automated inspection process would reduce oversights and subjective judgment errors that can happen when overworked human inspectors take the first look.

Providing comprehensive and reliable data

"This approach significantly reduces unnecessary data collection from areas that are in good structural condition while still providing comprehensive and reliable data necessary for condition assessment," they wrote.

The researchers envision incorporating the multiscale monitoring system as part of a larger autonomous monitoring framework including drones and other autonomous vehicles – like the one proposed by the Federal Highway Administration's Nondestructive Evaluation Laboratory, which would use an array of tools and sensing technologies to autonomously monitor and repair infrastructure. 

"Moving forward, we aim to integrate this work with an unmanned ground vehicle, enhancing the system's ability to autonomously detect, analyse, and monitor cracks," says Alamdari.

"The goal is to create a more comprehensive, intelligent and efficient system for maintaining structural integrity across various types of infrastructure. Additionally, real world testing and collaboration with industry and regulatory bodies will be critical for practical application and continuous improvement of the technology."

Inspecting bridges, buildings and roads: Researchers look to AI guided systems to help with robotic analyses

Taoiseach Leo Varadkar has officially opened the new N59 Maigh Cuilinn bypass in Co Galway, which will result in a significant reduction in journey times between Galway city and Connemara. 

The project has been delivered over the past two years by Transport Infrastructure Ireland (TII), in conjunction with Galway County Council, and is funded by the Department of Transport.

Taoiseach Varadkar said: “It is a great pleasure to officially open the Moycullen bypass. This road will mean more efficient journeys for people travelling to work, college and public services.  It will reduce congestion locally and provide for safer road travel.

“We have spread investment across the country in a balanced way that promotes the development of thriving cities and rural communities. The Galway area is pivotal to this, with a vibrant city and a hinterland of rural villages where people chose to build their lives.

'Improve the experience of the many visitors'

"By improving our roads and connectivity, we make these communities more attractive places to live and work, developing our country in a sustainable way. While benefiting residents daily, it will also improve the experience of the many visitors to this beautiful region. 

“During my involvement in the initiation of the Moycullen bypass when I was minister for transport, we thought it might be possible for the ring road and Moycullen bypass to be built at the same time, so I understand the frustration people must feel that one part is done and the bigger part is not.

"The construction of the Galway ring road is an important next step and will free up the city and road space within the city for pedestrians and cyclists, making it more attractive to residents, tourists and investors.”

Leas chathaoirleach of Galway County Council Dr Evelyn Parsons said: “This significant piece of infrastructure has been a long time coming and its completion finally eases the longstanding traffic congestion issues in Moycullen. It also will reduce travel times from Galway city to Clifden by at least 20 minutes during peak periods.”

Peter Walsh, CEO of Transport Infrastructure Ireland (TII), said: “The N59 Moycullen Bypass can now deliver the needed safety improvements for all road users throughout the greater Connemara region as well as giving Moycullen village back to the residents, businesses, and visitors all to enjoy.”

'Significantly reduce volumes of traffic'

Liam Conneally, chief executive of Galway County Council, said: “This new road will significantly reduce volumes of traffic, in particular heavy goods vehicles that pass through Maigh Cuilinn every day. It will bring many benefits to the local community, including reduced noise and air pollution and greater accessibility throughout the village to enhance economic opportunities for local business.

Quality connectivity through the provision of large-scale infrastructure projects is central to our efforts to promote sustainable development in Co Galway and to attract inward investment to the West of Ireland.  Landmark projects such as this truly are the foundations on which we, as a local authority, can and must continue our work of building sustainable and vibrant communities across Co Galway.

The Maigh Cuilinn scheme is a gateway connection to the west of the county and is one which, we hope, will complement the future delivery of the proposed N6 Galway City Ring Road project.”

The construction of the nN59 Maigh Cuilinn Bypass has involved the delivery of 4.3km of new national secondary road, improvements to 3km of local roads, 1.7km of accommodation roads and 10 structures. The bypass connects to the existing N59 at two new roundabout junctions either side of the village and provides significant improvements to shared walking and cycling infrastructure.

Galway's N59 Maigh Cuilinn bypass opens

The Environmental Protection Agency (EPA) has published national byproduct criteria for site-won asphalt (road planings) from road developments.

These criteria allow for the classification of road planings as a byproduct, meaning it is not waste. The byproduct can subsequently be used or placed on the market in the same way as virgin material. These criteria support waste prevention and facilitate the reuse of materials in new construction projects, in line with the circular economy. 

There is a strong demand for secondary construction products in Ireland to support development of new infrastructure with a low carbon footprint. The criteria allow used asphalt to be remanufactured into new bituminous products for road building.

'Important step for the ‘greening’ of Ireland’s construction industry'

David Flynn, director of the EPA’s Office of Environmental Sustainability, said: “The publication of national byproduct criteria for site-won asphalt is an important step for the ‘greening’ of Ireland’s construction industry.

"The criteria will support waste prevention and circular economy ambitions, by tackling the generation of construction waste, the largest waste stream in the country, while encouraging the reuse of materials.

"This is the type of progress needed if Ireland is to move in a meaningful way from the linear to the circular economy.”

The criteria provide a simple way to assess materials for reuse, and will support green procurement ambitions for road development projects.

Streamlining the regulation

Warren Phelan, programme manager of the EPA’s Circular Economy Programme noted: “The publication of the national criteria show the EPA’s commitment to streamlining the regulation to support secondary products.

"The shift away from the assessment of case-by-case applications to national criteria, which is available to all producers, offers more regulatory certainty to the stakeholders involved. These criteria will introduce a level playing field for industry and introduce a single set of rules that are easy to implement.”

The EPA calls on relevant stakeholders in the construction sector to adopt and implement the new criteria.

Further information on the national byproduct criteria and other initiatives of the circular economy programme are available on the EPA website.

National criteria allowing for safe reuse of site-won asphalt (road planings) as a byproduct published by EPA

An increasing number of US interstates are set to try out a Purdue University invention that could save millions of taxpayer dollars and significantly reduce traffic delays. 

The invention, a sensor that allows concrete to 'talk', decreases construction time and how often concrete pavement needs repairs while also improving the road's sustainability and cutting its carbon footprint.

Embedded directly into a concrete pour, the sensor sends engineers more precise and consistent data about the concrete's strength and need for repair than is possible with currently used tools and methods.

Understanding of concrete's strength levels

"Traffic jams caused by infrastructure repairs have wasted four billion hours and three billion gallons of gas on a yearly basis. This is primarily due to insufficient knowledge and understanding of concrete's strength levels," says Luna Lu, the Reilly Professor and acting head of Purdue's Lyles School of Civil Engineering, who has been leading development of the sensors since 2017. 

Purdue University researcher Luna Lu has developed technology that could replace methods the construction industry has been using for more than a hundred years to test when concrete structures are ready to take on an external load. Image: Purdue University photo/Rebecca McElhoe.

"For instance, we don't know when concrete will reach the right strength needed to accommodate traffic loads just after construction. The concrete may go through premature failure, leading to frequent repairing."

According to data from the Federal Highway Administration, concrete pavement makes up less than 2% of US roads but approximately 20% of the US interstate system. Lu's research has focused on improving the conditions of concrete pavement first because it is the most challenging road material to repair. Concrete interstate pavement also must reliably support a large proportion of the nation's traffic.

More than half of US states with concrete interstate pavement have signed up to participate in a Federal Highway Administration pooled fund study to implement the sensors. The participating states are Indiana, Missouri, North Dakota, Kansas, California, Texas, Tennessee, Colorado and Utah.

Additional states are expected to join as the study kicks off in the coming months. Two states – Indiana and Texas – have already begun trying out the sensors in highway paving projects.

The technology also is on track to hit the market later this year as the REBEL Concrete Strength Sensing System, a product of WaveLogix. Lu founded WaveLogix in 2021 to manufacture the technology on a larger scale. The company licenses the technology from the Purdue Research Foundation Office of Technology Commercialization, which has applied for patent protection on the intellectual property.

Fast Company magazine named this invention one of its Next Big Things in Tech for 2022, which recognises projects already making an impact on a real-world problem while also showing promise to make a greater impact in the years to come.

The American Society of Civil Engineers' 2021 Report Card for America's Infrastructure also selected the technology as one of its 'game changers' for the year. Other organisations, such as the American Association of State Highway and Transportation Officials, have followed the technology's developments since its initial introduction in 2019. 

From beneath a concrete pour, this black circular sensor transmits data about the concrete’s strength levels through a cord plugged into an above-ground handheld device called a data logger. Engineers receive real-time data from this device through a smartphone app. Image: Purdue University photo/Rebecca McElhoe.

Replacing century-old industry standards to make roads last longer

The Purdue invention is gradually rising as a better alternative to tests that have been the industry's standard since the early 1900s.

Lu and her lab started developing the technology in 2017, when the Indiana Department of Transportation requested help in eliminating premature failure of newly repaired concrete pavement by more accurately determining when the pavement is ready to be opened to traffic.

After embedding an early prototype of the sensor into sections of various Indiana highways, INDOT added the sensor technology to its Indiana Test Methods Index. This index lists tests for contractors and construction workers to use to ensure road pavement quality.

Methods that the industry has used for more than a century call for testing large samples of concrete at a lab or onsite facility. Using that data, engineers estimate the strength level that a particular concrete mix will reach after it has been poured and left to mature at a construction site.

Even though these tests are well understood by the industry, discrepancies between lab and outdoor conditions can lead to inaccurate estimates of the concrete's strength due to the different cement compositions and temperatures of the surrounding area.

With the technology Lu and her team invented, engineers no longer have to rely on concrete samples to estimate when fresh concrete is mature enough. Instead, they can directly monitor the fresh concrete and accurately measure many of its properties at once. 

Sensors developed by Luna Lu and her team are installed into the form work of Interstate 35 in Texas. Image: Luna Lu.

The sensor communicates to engineers via a smartphone app exactly when the pavement is strong enough to handle heavy traffic. The stronger the pavement is before being used by vehicles, the less often it will need to be repaired. The ability to instantly receive information about the concrete's strength levels also allows roads to open to traffic on time or sooner following a fresh pour.

Construction workers can instal the sensors simply by tossing them onto the ground of the concrete form work and covering them with concrete. Next, they plug the sensor cable into a reusable handheld device that automatically starts logging data. Using the app, workers can receive information on real-time changes in the concrete strength for as long as the strength data is required.

Cutting carbon emissions by cutting down on traffic and cement

By decreasing road repairs and construction timelines, this technology could reduce carbon dioxide that vehicles would have emitted while waiting in traffic to get around a construction site. 

Luna Lu’s lab is focused not just on making roads stronger and safer but also on helping the environment. Image: Purdue University photo/Rebecca McElhoe.

Lu's startup, WaveLogix, also is developing a way to curb carbon emissions by cutting the amount of cement needed in concrete mixes. The manufacturing of cement is responsible for 8% of the world's carbon footprint.

WaveLogix has made progress on a solution that uses artificial intelligence to optimise the design of concrete mixes based on data that the sensors would collect from motorways across the country.

Construction codes call for a higher cement content in concrete mixes to ensure that concrete sample testing meets required strength thresholds. Excess cement can lead to premature cracks in pavement.

Based on these code requirements and data from the Global Cement and Concrete Association, Lu estimates that concrete mix overdesign causes more than one billion tons of carbon emissions per year.

"The biggest problem with concrete mixes is that we use more cement to increase the concrete's strength. That won't help open the road to traffic any sooner," says Lu.

Different water-cement ratios

These codes are based on how concrete mixes were made in the early 1900s, which was before equipment that could grind cement into finer powder was developed in the 1950s. Since concrete mixes use that finer powder today, they should have different water-cement ratios than 100 years ago.

The codes also don't take into consideration how weather in different states impacts a concrete mix. A concrete pour in the middle of Indiana's winter, for example, requires different concrete mixes to reach the right strength level than if the concrete were poured during California's winter.

Lu believes that this new method using artificial intelligence could potentially reduce by 20% to 25% the amount of the cement used in concrete mixes – and simultaneously make pavement more durable and less expensive.

"I feel a strong sense of responsibility to make an impact on our infrastructure through developing new types of technology. In the field of civil engineering, if we don't make an impact on the world, there won't be a world to worry about," says Lu.

Revealed: The 'talking' concrete that could help to prevent gridlock and reduce carbon emissions

Almost 2.8 million lane-miles, or about 4.6 million lane-kilometres, of the United States are paved.

Roads and streets form the backbone of our built environment. They take us to work or school, take goods to their destinations, and much more.

However, a study by MIT Concrete Sustainability Hub (CSHub) researchers shows that the annual greenhouse gas (GHG) emissions of all construction materials used in the US pavement network are 11.9 to 13.3 megatons. This is equivalent to the emissions of a gasoline-powered passenger vehicle driving about 30 billion miles in a year.

As roads are built, repaved, and expanded, new approaches and thoughtful material choices are necessary to dampen their carbon footprint. 

Carbon capture

The CSHub researchers found that, by 2050, mixtures for pavements can be made carbon-neutral if industry and governmental actors help to apply a range of solutions – like carbon capture – to reduce, avoid, and neutralise embodied impacts. (A neutralisation solution is any compensation mechanism in the value chain of a product that permanently removes the global warming impact of the processes after avoiding and reducing the emissions.) Furthermore, nearly half of pavement-related greenhouse gas (GHG) savings can be achieved in the short term with a negative or nearly net-zero cost.

The research team, led by Hessam AzariJafari, MIT CSHub’s deputy director, closed gaps in our understanding of the impacts of pavements decisions by developing a dynamic model quantifying the embodied impact of future pavements materials demand for the US road network. 

The team first split the US road network into 16km segments, forecasting the condition and performance of each. They then developed a pavement management system model to create benchmarks helping to understand the current level of emissions and the efficacy of different decarbonisation strategies. 

Life-cycle assessment

This model considered factors such as annual traffic volume and surface conditions, budget constraints, regional variation in pavement treatment choices, and pavement deterioration. The researchers also used a life-cycle assessment to calculate annual state-level emissions from acquiring pavement construction materials, considering future energy supply and materials procurement.

The team considered three scenarios for the US pavement network: A business-as-usual scenario in which technology remains static, a projected improvement scenario aligned with stated industry and national goals, and an ambitious improvement scenario that intensifies or accelerates projected strategies to achieve carbon neutrality. 

If no steps are taken to decarbonise pavement mixtures, the team projected that GHG emissions of construction materials used in the US pavement network would increase by 19.5% by 2050. Under the projected scenario, there was an estimated 38% embodied impact reduction for concrete and 14% embodied impact reduction for asphalt by 2050.

The keys to making the pavement network carbon neutral by 2050 lie in multiple places. Fully renewable energy sources should be used for pavement materials production, transportation, and other processes.

The federal government must contribute to the development of these low-carbon energy sources and carbon capture technologies, as it would be nearly impossible to achieve carbon neutrality for pavements without them. 

Additionally, increasing pavements’ recycled content and improving their design and production efficiency can lower GHG emissions to an extent. Still, neutralisation is needed to achieve carbon neutrality.

Making the right pavement construction and repair choices would also contribute to the carbon neutrality of the network. For instance, concrete pavements can offer GHG savings across the whole life cycle as they are stiffer and stay smoother for longer, meaning they require less maintenance and have a lesser impact on the fuel efficiency of vehicles

Concrete pavements have other use-phase benefits including a cooling effect through an intrinsically high albedo, meaning they reflect more sunlight than regular pavements. Therefore, they can help combat extreme heat and positively affect the earth’s energy balance through positive radiative forcing, making albedo a potential neutralisation mechanism.

At the same time, a mix of fixes, including using concrete and asphalt in different contexts and proportions, could produce significant GHG savings for the pavement network; decision-makers must consider scenarios on a case-by-case basis to identify optimal solutions. 

GHG emissions of materials

In addition, it may appear as though the GHG emissions of materials used in local roads are dwarfed by the emissions of interstate highway materials.

However, the study found that the two road types have a similar impact. In fact, all road types contribute heavily to the total GHG emissions of pavement materials in general. Therefore, stakeholders at the federal, state, and local levels must be involved if our roads are to become carbon neutral. 

The path to pavement network carbon-neutrality is, therefore, somewhat of a winding road. It demands regionally specific policies and widespread investment to help implement decarbonisation solutions, just as renewable energy initiatives have been supported. Providing subsidies and covering the costs of premiums, too, are vital to avoid shifts in the market that would derail environmental savings.

When planning for these shifts, we must recall that pavements have impacts not just in their production, but across their entire life cycle. As pavements are used, maintained, and eventually decommissioned, they have significant impacts on the surrounding environment.

If we are to meet climate goals such as the Paris Agreement, which demands that we reach carbon-neutrality by 2050 to avoid the worst impacts of climate change, we – as well as industry and governmental stakeholders – must come together to take a hard look at the roads we use every day and work to reduce their life cycle emissions. 

Carbon-neutral pavements a possibility by 2050, but policy and industry action needs to go up a gear – study

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