County uses LIDAR and AI to assess road conditions for budgeting strategies

The Sumner County Highway Commission meeting on June 2, 2025, focused on the innovative use of technology to assess and manage the condition of county roads. The discussion highlighted the implementation of advanced tools, including LIDAR scanning and various camera systems, to gather detailed data on road conditions. This data is processed using artificial intelligence to provide a comprehensive overview of roadway status, which is crucial for effective budgeting and maintenance planning.

The technology allows for a granular analysis of road conditions, enabling officials to identify areas requiring immediate attention. The system categorizes road issues by severity, helping decision-makers prioritize repairs based on factors such as traffic volume and road usage. For instance, roads serving more vehicles may be prioritized for repairs over those with less traffic, even if their condition appears better on average.

Additionally, the meeting addressed how the collected data can be integrated into the county's Geographic Information System (GIS), allowing local officials to manage and analyze the information independently. This flexibility ensures that the county can adapt the data to its specific needs without being reliant on external software.

The discussion also touched on the decision-making process for road repairs, which involves creating an asset management plan that weighs various factors, including the road's condition index and its functional classification. This systematic approach helps determine whether a road should be repaired or replaced, ensuring that resources are allocated efficiently.

Overall, the meeting underscored the importance of leveraging technology in road maintenance, aiming to enhance the safety and longevity of Sumner County's transportation infrastructure. As the county continues to adopt these advanced methods, officials expressed optimism about improving road conditions and serviceability for residents.