Video Based Machine Learning for Smart Traffic Analysis and Management

Dr. Sanjay Ranka (PI), Dr. Anand Rangarajan (co-PI), Dr. Sivaramakrishna Srinivasan (co-PI), Dr. Lily Elefteriadou (co-PI), and Daniel Hoffman (co-PI)
Funding Source: NSF

This project explores a fairly new area of research: looking at near-misses as a metric of safety. Researchers at the UFTI are collaborating with the City of Gainesville Department of Mobility to apply advanced video processing and artificial intelligence to produce predictive risk models – which have not been used yet in the United States – focused on near-misses at intersections. One of the goals of this project is to create a replicable, low-cost solution that can be used to help communities across the country address dangerous intersections and improve traffic.