A quick, complete, and objective analysis of pavement conditions through an automated road survey methodology.
Traditional road pavement condition surveys are mostly performed manually, subjecting the process to human errors and delays, and further draining limited resources.
RoadAI, part of our Xweather family of subscription based products, combines a user-friendly Artificial Intelligence (AI) technology tool, high-quality video data, and reliable methodology to quickly and accurately assess pavement surface conditions up to four times faster and at half the price of a manual road survey. Now, inspectors can quickly create thorough, accurate reports about pavement conditions using just a mobile smart phone to support strategic monitoring and decision-making about asset management.
Artificial Intelligence (AI) technology performs advanced analysis of sensor-recorded road video data, removing human error and producing a comprehensive surface condition report that can quickly be verified by the inspector from the video data.
RoadAI technology distinguishes between all defect types and provides information and analysis of pavement defects and patches across more than 20 different categories. The sensor generates an objective surface condition report on every 10m segment and includes analysis of cracking, potholes, fretting, settlement, deterioration, and bleeding.
RoadAI technology enables long-term tracking and monitoring of pavement conditions for objective comparisons about the success of past road management efforts and focused analysis of accelerated deterioration due to warmer winters, wetter summers, cold weather, and other effects of climate change.
Data can be easily exported to an asset management system for ongoing analysis of road and pavement surface conditions in light of other relevant environmental or asset related factors.
RoadAI is the most advanced and comprehensive AI-based road condition and inspection tool available. You are invited to take advantage of a free test drive of RoadAI technology today.
Here’s how RoadAI helps organizations get faster, more accurate, and cost-effective road condition surveys.
Automated, objective road condition assessment and analysis for safety and efficiency.
A concise look at the challenges and optimal solutions in road maintenance decision-making.
A comprehensive overview of modern maintenance technologies and practices.
Data-driven decisions using new technology are driving the future of road asset management. Here is an overview of how far we’ve come and the vision of tomorrow.
If you’re interested in giving your inspectors the tools they need to thoroughly and efficiently conduct pavement assessments, start with this eBook. It offers a detailed look at how AI is improving road condition inventory worldwide.
RoadAI is your trusted companion for planned and reactive road maintenance. You can generate a comprehensive assessment of your road network in hours with the power of computer vision, for a fraction of a cost.
From operational efficiency to greater speed and accuracy, experts weigh in on AI's industry impacts.
Vaisala RoadAI provides a quick, complete, objective analysis of pavement conditions through an automated road survey methodology.
RoadAI provides automation tools that help get road condition surveys done faster, with greater accuracy and cost-effectiveness.
Around the world, winter maintenance practices share the same goal: Keep roads safe. There are as many different road weather challenges as there are methods to accomplish the goal.
See how RoadAI was used to improve rural surveys under a difficult budget environment.
See how a typical deployment of RoadAI improves road management in the London borough of Bexley.
How Northumberland County Council gets the most out of RoadAI to conduct road condition surveys, safety inspections and much more.
Ready to see how Vaisala’s sensing technology can be put to work for you? We’re here to help! Please contact us and our industry experts will be in touch quickly to discuss your weather and environmental monitoring challenges.