10 Common Pavement Problems AI Can Detect Faster Than You Can Say “Pothole”

The Power of AI in Pavement Management

Traditionally, pavement management involved labor-intensive visual inspections and manual data collection. However, AI technology has transformed this process by automating data collection and analysis, making it faster, more accurate, and cost-effective. AI systems, combined with advanced LiDAR mapping, can now detect pavement issues in real-time, providing decision-makers with valuable insights to prioritize repairs and optimize resources.

10 Common Pavement Problems AI Can Detect

1) Potholes: A Universal Nuisance – Potholes are one of the most common and frustrating pavement issues. They form when water seeps into cracks, freezes, and expands, causing the pavement to break apart. AI can quickly identify these hazards and flag them for repair, minimizing the risk to drivers and pedestrians.

2) Alligator Cracking: An Indicator of Structural Issues – These interconnected cracks resemble the skin of an alligator and result from structural failure. AI can detect alligator cracking and help prioritize sections that need immediate attention, ensuring resources are allocated effectively.

3) Rutting: Dangerous and Costly – Longitudinal depressions in the wheel paths, rutting can lead to hydroplaning and loss of vehicle control. AI can rapidly detect rutting, allowing for timely maintenance and reducing the risk of accidents.

4) Edge Cracking: A Warning Sign for Pavement Stability  Cracks along the pavement edges indicate a lack of support or poor drainage. AI can detect edge cracking, enabling timely repairs to prevent further damage and maintain the structural integrity of the road.

5) Block Cracking: The Surface-Level Threat – Large, rectangular cracks suggest issues with the asphalt binder, often due to aging or environmental factors. AI can rapidly detect block cracking and recommend appropriate maintenance, prolonging the life of the pavement.

6) Longitudinal Cracking: A Symptom of Fatigue – These cracks run parallel to the pavement centerline and may result from poor construction or aging. AI can swiftly identify longitudinal cracking and suggest appropriate repair strategies, preventing more severe damage.

7) Transverse Cracking: A Sign of Aging – Cracks that run perpendicular to the centerline may indicate temperature-related issues or subgrade movement. AI can detect transverse cracking and help determine the underlying cause, enabling targeted maintenance efforts.

8) Slippage Cracking: When Layers Fail – These crescent-shaped cracks occur when the surface layer slides over the underlying layer due to poor bonding. AI can detect slippage cracking and help prioritize areas for repair, ensuring a safe and smooth driving surface.

9) Utility Cut Patching: A Necessary Evil – Utility cuts are made to access underground utilities for repairs or upgrades, leaving behind patched pavement that can be prone to issues. AI can identify areas where utility cut patching has compromised the pavement’s integrity, enabling targeted maintenance.

10) Bleeding: The Dark Side of Pavement – Bleeding occurs when excess asphalt binder rises to the pavement surface, creating a slippery, shiny appearance. AI can detect bleeding and help identify the cause, such as poor construction or high temperatures, allowing for appropriate corrective measures.

How Cyvl’s AI-Powered Solutions Streamline Pavement Management

Cyvl’s advanced AI technology, combined with LiDAR mapping, revolutionizes pavement management by providing a comprehensive and accurate assessment of pavement conditions. Our AI-driven solutions automatically analyze LiDAR data, enabling rapid detection of pavement problems and generating detailed reports that assist decision-makers in prioritizing repairs and allocating resources efficiently.

Not only do our AI-powered solutions save time and labor by automating the inspection process, but they also improve the quality and accuracy of the data collected. By identifying and quantifying pavement issues faster and more reliably than traditional methods, Cyvl enables civil engineers, local governments, and state governments to make more informed decisions and optimize their pavement management strategies.

The Cyvl.ai Pavement Condition Solution with LiDAR and Street View Imagery

Conclusion

The power of AI and LiDAR technology is reshaping the way we manage and maintain our roads. By rapidly detecting and assessing common pavement problems, AI is helping to make our transportation infrastructure safer, more efficient, and more cost-effective. Cyvl’s cutting-edge solutions are at the forefront of this revolution, providing invaluable tools and insights for civil engineers, local governments, and state governments in their quest to optimize pavement management.

Don’t miss out on the opportunity to revolutionize your pavement management process. Discover the full range of Cyvl’s AI-driven solutions and learn how our technology can help you stay ahead of the curve in maintaining your roads and infrastructure. Visit our website and explore our services today!

Introducing Cyvl: The Future of Infrastructure Management

Cyvl helps governments and civil engineers better manage our world’s physical infrastructure with LiDAR and AI.

Who We Are

After speaking with their local governments, former WPI students Daniel Pelaez, Noah Budris, and Noah Parker founded Cyvl (previously Roadgnar) with the central mission of addressing our nation’s most pressing infrastructure challenges.

Now, with a growing team of engineers and data scientists, Cyvl provides modern infrastructure management solutions to communities throughout New England and the United States.

Why We Do It

At Cyvl, our efforts are driven by the impact we make in our communities.

While infrastructure is critical to our society, it’s constantly overlooked and neglected through insufficient and inconsistent asset management techniques and poor budget allocation. Furthermore, current techniques can no longer keep up with the growing use and size of our nation’s infrastructure networks.

There is an agreement between governments and their citizens that our infrastructure needs to be better maintained. However, a solution that’s easy to implement and afford for communities of all sizes does not exist.

What We Do

Cyvl has developed a new infrastructure technology platform that enables governments and civil engineers to manage the world’s pavements, traffic signs, trees, and related infrastructure assets quickly, effectively, and affordably. We achieve this with our vehicle-mounted data collection sensors and our proprietary data processing algorithms.

Here’s how it works:

Sensor Delivery – We send users our vehicle-mounted sensor, which includes a 3D LiDAR and camera.

Mount and Drive – Our sensor is easily mounted to your vehicle of choice with provided mounting equipment. Drive around to collect LiDAR and imagery data of your infrastructure assets and upload it to our web portal.

Automated Analysis – We use artificial intelligence to identify, inventory, and assess infrastructure assets. Privacy is our top priority, so all personally identifiable information like faces and license plates are anonymized.

Actionable Results – All results are made available via our secure web portal, which allows you to interact with a digital twin of your community. You can share results with stakeholders and export all of your data in various industry-standard GIS, CAD, and point cloud formats for easy integration into your current software platforms.

The Cyvl solution provides a systematic way to organize and prioritize infrastructure needs so that our customers can make well-informed and data-driven decisions.

Why Now

In 2021, congress passed the $1.2 trillion Bipartisan Infrastructure Law to help fuel the restoration of our nation’s deteriorating infrastructure. The passing of this bill indicates the urgency for repairing America’s infrastructure, but the perfect solution does not exist.

Cyvl is Here to Change That

Through our partnerships with leading civil engineering firms and state and local governments, we have helped dozens of communities improve their infrastructure management processes and optimize their resources.

We the People believe it’s time for the world to start taking infrastructure management seriously. It’s time to start paving the way toward a better world. It’s time for Cyvl.