Maintaining roads efficiently is a complex task. Road maintenance organizations are looking for more efficient, cost-effective, and safe ways to maintain their networks. This means optimization across the board: network inspections, maintenance programming, and inventory management.
Many organizations still use antiquated methods and processes to assess roads, collect data, and plan for the future. But what if there was a more efficient way?
80% of all journeys take place on the road. Over the last 50 years, road design and maintenance have improved to ensure that we can have safe and smooth journeys. But roads are designed to wear out. Road asset management is the practice used to enable engineers to understand where the roads are wearing out and target their resources on keeping the roads in good condition.
The process of road asset management breaks down into three broad areas:
The challenge for engineers is that they're trying to manage this complex and dynamic environment that covers, in many cases, thousands of miles.
One of several challenges for organizations that use traditional manual road condition surveys to gain knowledge of their road networks is not having any video associated with the survey data. Enter RoadAI: the best of both worlds. With this method, organizations can collect data using cell phone video footage, analyze video data, and also automatically produce distress ratings. Setup and installation are simple, and video files are uploaded automatically to the cloud.
For planned and reactive maintenance, the benefits of RoadAI abound. RoadAI offers an overall simplified process, using fewer resources and less time when compared to traditional data collection methods:
The most critical factor of RoadAI is that organizations can start to implement early intervention asset management — and pick up defects early in the deterioration phase.
With frequent network surveying, users can pick up a minor defect, like a beginning crack, and plan to make a lower of cost treatment intervention. Sealing up that crack up — before any water or ice gets into that section of road — prevents it from breaking up further. Having access to detailed, timely data consistently enables teams to drive down the total cost of maintenance, making maintenance processes much more efficient. Does RoadAI sound like a methodology you’re interested in? Watch the webinar in its entirety — or visit our website for even more resources.