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October 20, 2026Truck platooning offers a promising approach to reducing fuel consumption and emissions while increasing freight transport capacity, yet its adaptability to varied roadway infrastructure remains a critical research gap. This webinar examines a project that addresses this need through the design and prototyping of a dynamic truck platooning regulatory system. Presenter Yu “Fred” Song, PhD, whose research centers on traffic operations and safety, driver behavior, intelligent transportation systems, and vehicle automation, will share insights from this work. Before joining the University of Wyoming, Dr. Song conducted research at the Connecticut Transportation Institute at the University of Connecticut.
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.
