The Challenge

Trafikverket is the organization responsible for managing Sweden’s extensive road network. They are tasked with ensuring safety and maintaining the network across diverse terrains and seasonal conditions. The road network spans approximately 104,000 km, covering everything from dense urban areas to rural regions and remote landscapes. This vast and varied network requires regular maintenance to ensure it remains safe and functional for all users.

Traditionally, Trafikverket has been a pioneer in the field of road management. They have measured the condition of state-owned roads annually and biennially with advanced measuring vehicles that capture detailed information about road status, profile, roughness, friction, and various types of road damage, all augmented by manual checks.

These traditional methods have provided valuable insights but are limited by their frequency and the high cost. Measuring road conditions only once per year presents several challenges:

Delayed detection of urgent issues

Critical road defects that emerge between inspections can go unnoticed, leading to hazardous conditions and safety risks.

Escalation of problems

Without timely intervention, minor issues can worsen, resulting in more extensive and costly repairs by the time they are detected.

Reduced road lifespan

Continuous wear and tear, especially during harsh winter months, can significantly reduce the lifespan of the road if not addressed promptly.

As Sweden's population grows and urban areas expand, the call for more frequent and detailed road condition data has increased. To address this, Trafikverket recognized the need for a solution that could complement traditional methods by providing continuous, year-round monitoring and accurate data on road surface conditions.

This would enable Trafikverket to better respond to emerging issues, optimize resource use, improve road quality, reduce maintenance debt, enhance road safety, and minimize environmental impact.

“Partnering with Trafikverket, we’re showcasing how AI and real-time data can transform road management, driving efficiency and safety while setting new standards for sustainability.”

- Jonathan Selbie, CEO at Univrses
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Teaming up with Univrses

To address these challenges, Trafikverket partnered with Univrses to leverage the company’s AI expertise. This collaboration is part of a broader effort to transform road management in Sweden. It focuses on maintaining and optimizing existing infrastructure more effectively in response to societal and environmental demands, rather than solely focusing on new construction. Innovative technologies and data-driven strategies support this transformation.

In response to Trafikverket's specific requirements, Univrses utilized their advanced AI system, 3DAI™.

3DAI™


Univrses’ 3DAI™ is a state-of-the-art platform designed for continuous road condition monitoring. Leveraging advanced artificial intelligence, the system is built to collect and analyze real-time data, providing a comprehensive view of the road network and detecting various types of road damage as they occur.

Integration

The system integrates seamlessly into contractor vehicles responsible for road maintenance and manual inspections. By equipping these vehicles with cameras, they can collect detailed data on various types of road damage as they perform their regular routes. 3DAI™ is capable of detecting a wide range of road damage, from smaller issues to larger problems, including road cracks and potholes.

Automation

3DAI™ automates the data collection process, requiring minimal interaction from vehicle operators. Once installed, the system continuously captures and analyzes road condition data without disrupting regular vehicle operations. This high degree of automation ensures efficient and reliable data collection, providing consistent and accurate insights into the road network's condition.

Adaptable deployment

Beyond contractor vehicles, 3DAI™ can be installed on a variety of fleets, i.e. taxis, buses, and waste management trucks, enabling extensive data collection across different vehicle types. This flexibility allows for a more comprehensive and continuous overview of road conditions, ensuring that diverse routes and areas are consistently monitored.

Data privacy and GDPR compliance

Univrses developed 3DAI™ with privacy as a core principle. The automated data collection process ensures operators do not access sensitive information like images or location data. All images are anonymized, with faces and license plates heavily blurred, making the data fully compliant with GDPR and meeting Europe's strict data protection standards.

Key objectives 


The integration of Univrses’ 3DAI™ system aims to provide several benefits for Trafikverket:
Continuous monitoring: To ensure constant awareness of pavement conditions through regular data collection. In addition, Trafikverket can monitor other roadside assets, such as traffic signs, street lights, and barriers, although this capability is not the primary focus of the current project. This approach allows Trafikverket to respond promptly to emerging issues, minimizing the time between detection and intervention.

Predictive maintenance

To allow for the early detection of potential issues, facilitating timely interventions that prevent minor issues from escalating into major problems. This objective helps Trafikverket avoid costly repairs by addressing issues before they worsen.

Cost efficiency

‍To enhance maintenance operations by reducing reliance on manual inspections, resulting in significant cost savings. A data-driven approach ensures better budgeting and resource allocation, maximizing the impact of available funds.

Environmental benefits

To reduce the environmental impact of road maintenance through targeted repairs and optimized resource use. Additionally, early detection of road damage minimizes the need for extensive repairs, aligning with sustainability goals.

Deployment

The project is designed to ensure thorough development, validation, and scalability, allowing for efficient nationwide data collection. Initial planning and testing phases have successfully established the foundation for deployment, leading to the installation of devices in vehicles across Sweden. Univrses has provided Trafikverket with access to the 3DAI™ dashboard, enabling them to utilize real-time data to enhance road maintenance strategies.
Furthermore, Univrses has refined the 3DAI™ platform to support Trafikverket’s needs for comprehensive year-round monitoring. The system is tailored to address Sweden’s specific road maintenance challenges by capturing detailed data on various road conditions throughout the year, including those affected by severe winter conditions. This approach ensures optimal performance for Sweden’s unique needs, while the platform’s design also supports versatile use in different international contexts.

Fleet and coverage

To maximize data collection coverage across Sweden’s road network, Univrses collaborates with key contractors, including Svevia, who manage extensive vehicle fleets. These collaborations allow for comprehensive data collection on road conditions using vehicles already in operation.

These contractor fleets cover diverse routes, ranging from densely populated urban areas to remote rural regions, ensuring that all areas of Sweden’s road network are monitored. The strategic deployment of these vehicles allows for extensive data collection across the network, ensuring no road segment is overlooked.

Given the high operational frequency of these contractor vehicles, particularly in high-traffic areas, the 3DAI™ system will provide regular updates on road conditions. These updates could be as frequent as daily in urban areas, ensuring that Trafikverket has up-to-date information to address road maintenance issues promptly.

Looking ahead, Univrses is expanding its geographical coverage by integrating data from leading automotive manufacturers into the 3DAI™ system. The company already collaborates with several production car manufacturers, positioning itself well for future expansion. Leveraging these partnerships, the project aims to eventually utilize both retrofitted and OEM-integrated vehicles to achieve comprehensive data collection across Sweden’s road network.

“We often use Google Street View to check road damage. But one problem is that in certain areas the images are several years old and not accurate enough. 3DAI™ can solve this problem.”

- Road Engineer, Trafikverket
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Projected impact

Trafikverket's adoption of 3DAI™ is expected to lead to significant improvements in road maintenance efficiency and cost savings. According to Fredrik Lindström, National Coordinator for Paved Roads at Trafikverket, this technology will enable more frequent updates on road conditions, providing a level of detail previously unattainable with traditional methods. In an interview with Trafikredaktionen at Sveriges Radio, Fredrik Lindström noted:

"The major advantage is that we receive data much more frequently. Typically, we measure the condition of the roads once a year, but with this technology, we can receive data once a week or even daily on high-traffic roads."

While the potential for cost savings is significant, predicting the exact amount is challenging due to the dual effect of the technology. On the one hand, 3DAI™ will uncover more road damage, which may initially increase repair costs. However, the improved data will lead to more efficient and targeted interventions, ultimately reducing overall maintenance costs in the long term. Trafikverket estimates that the efficiencies gained through these advancements could result in savings up to €14 million per year. Fredrik Lindström emphasizes the substantial potential for these technologies to streamline operations:

"There is significant potential for efficiency in our operations, allowing us to make more informed decisions and execute repairs with better data."

The future

The collaboration between Trafikverket and Univrses is an integral part of a broader vision to revolutionize road maintenance and management across Sweden. Trafikverket is poised to leverage cutting-edge technology to meet several strategic goals:


1. Comprehensive road monitoring

Trafikverket is exploring opportunities to enhance its data collection capabilities. Such an expansion could improve the monitoring of Sweden’s road network, enabling real-time updates and more comprehensive insights into road conditions. The objective is to ensure continuous coverage and improve the ability to rapidly identify emerging issues across the entire network.

2. Predictive and proactive maintenance

With the integration of advanced AI algorithms, Trafikverket plans to transition from reactive to predictive maintenance strategies. The goal is to utilize predictive analytics to anticipate road wear and tear, allowing for timely interventions that minimize disruptions and extend the lifespan of road infrastructure. This proactive approach will help Trafikverket optimize resource allocation and prioritize maintenance efforts more effectively.

3. Sustainable practices

Trafikverket is committed to achieving sustainable road maintenance practices by leveraging data-driven insights. They aim to reduce the environmental impact of road repairs through targeted interventions and efficient use of resources. This aligns with broader sustainability goals, focusing on reducing carbon emissions and promoting eco-friendly repair strategies.

4. Setting a global benchmark

As Trafikverket continues to innovate and refine its approach, the collaboration with Univrses is expected to serve as a model for similar initiatives globally. The success in Sweden positions Trafikverket as a leader in utilizing AI and connected vehicle data for infrastructure management, inspiring other countries to adopt similar strategies for enhanced road safety and efficiency.