Fred Mannering, Ph.D., was named on Clarivate’s Highly Cited Researcher list. The list celebrates the world’s leading researchers. This is the third consecutive year Mannering has made the list of researchers. Dr. Mannering is the executive director of the Center for Urban Transportation Research – CUTR and a USF College of Engineering professor of civil…
Researchers at the University of South Florida have developed a method and algorithm to detect the location of debris and unexpected objects on roads using basic safety message data and connected vehicle technology. Roadway debris and other unexpected obstructions, such as surface damage, can lead to significant traffic delays, or worse, crashes. Currently, unexpected roadway…
Innovative Infrastructure Materials View recorded webinar on YouTube Abstract This presentation will give an overview of the regional UTC Tran-SET followed by an introduction of some innovative pavement material advancements that were developed by Tran-SET funding including Low-cost ECC, EGC, and Self-healing asphalt and concrete pavement materials and a detailed overview of self-healing/self-rejuvenating asphalt…
CUTR at the TRB 2022 Annual Meeting The Center for Urban Transportation Research (CUTR) at the University of South Florida (USF) was excited to participate in the Transportation Research Board (TRB) 2022 Annual Meeting in Washington, DC, January 9–13, 2022. CUTR has been actively involved with TRB since our establishment in 1988, providing 30…
Using Data and Public Outreach to Achieve Positive Outcomes in Transportation View recorded webinar on YouTube Kittelson and Associates, Inc. is a national consultant in transportation planning, engineering, and research. Tampa staff – Jake Mirabella, Jennifer Musselman, and Franco Saraceno – will present exciting projects they have conducted on both Florida coasts. Two years…
Advanced Technologies in Transportation View recorded webinar on YouTube In this seminar, Secretary Kevin J Thibault will discuss how the state’s transportation infrastructure is being modernized through the use of advanced technologies With a focus on increasing safety and enhancing mobility, FDOT is using innovation to prepare its transportation system for the future.…
Physics Regularized Machine Learning for Smart Mobility View recorded webinar on YouTube In recent years, artificial intelligence (AI) such as machine learning (ML) techniques have been widely adopted to develop smart mobility systems. Particularly, as the foundation of smart traffic control systems, many ML-based models have been implemented to model traffic flows. However, despite those…
