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October 19, 2026Accurate pavement assessments are critical for effective maintenance and asset management. However, traditional methods can be time-consuming and labor-intensive. This research explores an innovative approach using AI, deep learning, and advanced imaging to automate distress detection, severity estimation, and pavement condition evaluation. The goal is to improve efficiency and deliver clear reports to support informed maintenance and investment decisions.
October 13, 2026This webinar discusses a framework developed to identify gaps in transportation infrastructure needs data. Though 311 complaints are a key mechanism to identify areas in need, researchers argue that the types and rates of complaints vary by location data. Therefore, some places may end up with worse infrastructure simply because not enough complaints are generated there. The gaps framework is intended to help public-sector engineers and planners.
September 16, 2026This webinar shares research findings on the results, best practices, and lessons learned from implementing diverging diamond interchanges (DDIs) and continuous flow intersections (CFIs) in Utah. It also covers establishing performance metrics and evaluation criteria to assess their success and effectiveness in support of planning, design, and implementation.
August 27, 2026This webinar explored research findings on innovative approaches to managing highway infrastructure. Participants learned about a cost-efficient method for assessing culvert conditions and prioritizing maintenance tasks when highway data is limited. The session also examined the role of condition prediction models in optimizing maintenance budgets for underrepresented assets such as culverts. Further discussion addressed the efficacy of federated learning as a means of data sharing among state departments of transportation, enabling improved prediction accuracy while safeguarding data privacy.
