Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and highway safety research
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…
[ultimate_spacer height=”25″] S1E4: Forward to the future: connected vehicles Guests: Xiaopeng “Shaw” Li, Ph.D., Susan A. Bracken Faculty Fellow, Associate Professor Sisinnio Concas, Ph.D Producers: Christina Loizou Available on Transcript [00:00:00] Announcer: The following research is part of the National Institute for Congestion Reduction funded by the United States Department of Transportation through the University…
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.…
TAMPA, Fla., March 5, 2019 – The Autonomous-Connected Mobility Evaluation (ACME) program at the Center for Urban Transportation Research has played a pivotal role in providing the latest data from the Tampa Connected Vehicle (CV) Pilot project to the Intelligent Transportation Systems (ITS) Data Hub, which provides open data from the three connected vehicle technology…
