Tag: UFTI

Smart Safety: Using Apps and Eye-Tracking Technology to Evaluate School Zone Beacon and Bicycle Detection
March 29, 2021Florida Department of Transportation ranks safety as a top priority for the state, and it is listed as one of FDOT’s Vital Few focus areas. Despite the vision of having fatality-free roadways, crashes are still a reality today. The Florida Department of Highway Safety and Motor Vehicles noted an increase of total annual traffic crashes […]
Read more »
Using Machine Learning Techniques to Help Mitigate Congestion
March 24, 2021Urban traffic control is one of the most important and challenging issues facing cities. Increases in the volume of traffic have significant impacts on congestion and consequently on the amount of time that travelers spend on the road. Furthermore, traffic signal control timing does not change in real-time based on changes in traffic patterns or […]
Read more »
Big Data and AI Help to Improve Operations and Safety at Intersections
March 24, 2021These days, road networks in our cities contain a variety of smart and connected infrastructure which generate an abundance of Big Data. This data can be processed to improve the flow of traffic and safety for both vehicles and pedestrians. At the University of Florida Transportation Institute (UFTI), transportation and computer science engineers are working […]
Read more »
UF Engineer Leads Collaboration for Safer Roadways
August 28, 2019Sanjay Ranka, Ph.D., a professor in the Department of Computer & Information Science & Engineering (CISE), was recently awarded a $2 million grant from the National Science Foundation to develop technology that will monitor high-risk intersections in Gainesville, FL, to make roadways safer. The project, “Video Based Machine Learning for Smart Traffic Analysis and Management,” […]
Read more »UFTI Affiliate Receives Funding from FDOT for Big Data Project
March 23, 2016We live in a world where massive amounts of data are currently available to us. In 2013, the size of the digital universe was estimated to be near 5 zettabytes (1 zettabyte = 1 million terabytes) and is expected to quadruple by 2020. Like the physical world, the information in it is diverse – created […]
Read more »