Work Research Group

A Transportation Cyber Physical Systems Lab

At the Institute for Software Integrated Systems
Vanderbilt University


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.

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.

18 Jun 2019


Will Barbour presents 'Data reconciliation of freight rail dispatch data' at the International Conference on Railway Operations Modelling and Analysis.

14 May 2018


The project, ModEling autonoMous vEhicles iN Traffic flOw (MEMENTO) is a collaboration between the NeCS lab at CRI Grenoble - Rhone-Alpes and our team in Vanderbilt.