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.
See the videos below or check out the full story in Transportation Research Part C: Emerging Technologies.
Working with Ford, we tested the potential for commercially available vehicle technology to smooth out phantom jams
The experiments with Ford were covered on ABC's Good Morning America.
Dan Work, Will Barbour, and colleages from Vanderbilt and VECTOR are featured in an article on the future of urban transportation.
Will Barbour presents on bike infrastructure planning at STEM day hosted by Vanderbilt ASCE student chapter.
VECTOR presents research on resiliency, micromobility, and autonomous vehicles to Greater Kansas City Chamber of Commerce.
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.
Undergraduate researchers present posters on their summer projects.
Will Barbour teaches Sensors and Big Data Analysis at Vanderbilt Summer Academy for gifted high school students.
Will Barbour and Dan Work co-author mobility op-ed in Tennessean with Vanderbilt colleagues
Will Barbour presents 'Data reconciliation of freight rail dispatch data' at the International Conference on Railway Operations Modelling and Analysis.
Will Barbour, Derek Gloudemans, and Yanbing Wang are awarded Eisenhower Transportation Fellowships from the USDOT.
Will Barbour and Prof. Work present at IEEE ITSC 2018 on reinforcement learning, smart rail transportation, and deep learning for rail ETA estimation.
Work and Stern attend US-German workshop in Washington, DC
Congratulations to Raphael!
George Gunter presents research findings
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.
Raphael featured in IPAM newsletter
Professor Dan Work and students Will Barbour and Derek Gloudemans attended the Array of Things User Workshop at Argonne National Lab on August 29-30.
The Integrated Transport Research Lab at the KTH Royal Institute of Technology in Stockholm organized a summer school on smart cities.
Led by Ph.D. student Rafi Stern, we teamed up with Ford at the Michigan Proving Ground to test 36 adaptive cruise control vehicles.
Vanderbilt looks for insight from dockless bike share. Analytics performed by Ph.D. student Will Barbour.
Prof. Benni Seibold (Temple) and Prof. Work gave a tutorial on the mathematics of phantom jams.