We are excited to announce the selection of the Autonomous-Connected Mobility Evaluation (ACME) program’s project “Intelligent Intersection Safety System: Improving Vulnerable Road Users’ Safety Through Advanced Technologies” for CUTR’s Internal Grant Award Program. CUTR’s Internal Grant Award Program aims to promote research scholarship, the creation of new work, and secure possible external funding. Congratulations to…
The ACME program was published in Transportation Research Part F: Traffic Psychology and Behaviour. This paper sheds new light on how individuals driving in real-world traffic conditions respond to the deployment of CV technology. The research focuses on the Forward Collision Warning (FCW) application to study factors that are associated with drivers’ reactions to FCWs.…
CUTR’s Autonomous-Connected Mobility Evaluation (ACME) program was recently published in the Journal of Intelligent Transportation Systems. In this research, the team proposes a new method that fuses conventional data sources, like radar and loop detectors, with Bluetooth and connected vehicle (CV) probe data. The team produced an algorithm to predict the onset and intensity of…
CUTR’s Omkar Dokur will present his team’s work at the 10th annual International Symposium on Visualization in Transportation Conference. “Visualizing OEMs and After-Market OBUs via the THEA CV Pilot Evaluation Performance Evaluation Dashboard” will be an interactive poster session. Thursday, November 3 5 PM – 7 PM Location: West Court
Connected vehicles can not only help improve the safety and mobility of our transportation system but generate valuable data that can help transportation agencies plan and respond to unexpected events, such as the COVID0-19 pandemic. Led by Sisinnio Concas, Ph.D., CUTR’s Autonomous-Connected Mobility Evaluation (ACME) program has recently published the article “A Longitudinal Study of…
Congratulations to CUTR’s Autonomous-Connected Mobility Evaluation (ACME) program on their recent publication. “Securely Sharing and Visualizing Connected Vehicle Analytics: THEA CV Pilot Performance Evaluation Dashboard” is now available online. This paper details the development of an innovative interactive #dashboard to process connected vehicle (CV) data securely, report CV application evaluation analytics, and monitor CV infrastructure system performance.…
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…