Our research group uses sensing technologies, models, data, and advanced analytics to understand mobility systems so that we can improve them. Our research projects explore the interplay between autonomous vehicles and phantom traffic jams. We also use large mobility datasets to understand urban traffic congestion at city scales, and freight rail traffic at the regional scale. We build mathematical models and systems theory tools to understand the underlying behavior of traffic flow.
Our research shows how a small number of automated vehicles can help smooth traffic jams.
Undergraduate student Nicole Gloudemans presented her work from this summer and fall at the Vanderbilt Undergraduate Research Fair on September 19th. Nikki's presentation highlighted the custom 6-camera mount she designed, prototyped, and tested this summer to advance the lab's computer vision research efforts.
Vanderbilt's dockless bike share pilot program and the analytics performed by Ph.D. student Will Barbour received the Sustainable Transportation Award from Tennessee Department of Environmental Conservation and Department of Transportation.