High-resolution sensor information combined with smart data processing at the edge is crucial to developing dynamic models of traffic flows, traffic congestion, parking utilization, and curb-space utilization. Combining the innovation across the spectrum of high-resolution cameras, the internet of things, and machine learning Vanderbilt researchers along with the community partners have been developing solutions for high-resolution metrics, identifying bottlenecks, and improving the infrastructure utilization.
I-24 smart corridor - Vanderbilt, TDOT partner to make 6 miles of I-24 the world’s smartest roadway
Reducing traffic jams - MoveVU travels on with $8.4M to help reduce traffic jams near campus, improve city air quality
Measuring traffic density on road intersection - Read further here