Improve road inventory and repair to conserve resources, increase efficiency, and achieve greater safety.
Summer road maintenance is crucial for inventorying, prioritizing, and repairing roadway damage and hazards. With the right technology, these operations can be more effective, ensuring safety and efficient operations year-round.
Vaisala’s advanced sensor technology and cutting-edge software analysis provide objective, actionable data to improve the pavement condition assessment process and inform decision-making.
Get a detailed look at how AI is improving pavement condition inventory worldwide.
Support maintenance decisions in your road network by automatically identifying and assessing assets such as pavement defects, signs, and lane markings condition.
Determine surface temperature relationships across a road network to identify sections of pavement that could become dangerous in winter weather conditions. The data can be combined with traffic and accident data to gain insight as to why parts of the network see a higher volume of accidents.
Explore the MD30 sensor, trusted and deployed for many use cases around the globe.
Automated, objective road condition assessment and analysis for safety and efficiency.
Accurate prediction of freezing events for safety and improved ice mitigation.
A comprehensive overview of modern maintenance technologies and practices.
From operational efficiency to greater speed and accuracy, experts weigh in on AI's industry impacts.
A concise look at the challenges and optimal solutions in road maintenance decision-making.
SUCCESS STORY: See how a typical deployment of RoadAI improves road management in the London borough of Bexley.
SUCCESS STORY: See how RoadAI was used to improve rural surveys under a difficult budget environment.