View.live | Compositional Systems Lab

view.live: Realtime Intelligence for Smoother, Safer Roads

Sun, 27 Sep 2026 00:00:00 +0000

view.live delivers realtime intelligence for smoother, safer roads, turning live roadway sensing into actionable information for operators and travelers.

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Realtime detection of vehicles and pedestrians along Broadway in Nashville, TN.

Source of Support: TODO

Total Budget: TODO

Performance Period: TODO

Primary Place of Performance: Nashville, TN

Dan Work

Thu, 01 Jan 2026 00:00:00 +0000

Dan Work is a Chancellor Faculty Fellow and professor in civil and environmental engineering, computer science, and the Institute for Software Integrated Systems at Vanderbilt University. He has held research appointments at the University of Illinois at Urbana-Champaign (2010-17), Institute for Pure and Applied Mathematics (2015, 2020), Microsoft Research Redmond (2009), and Nokia Research Center Palo Alto (2007-09).

Dr. Work pioneered methods for monitoring and controlling road traffic using vehicles, rather than fixed infrastructure, to sense and control road congestion. In 2015 he and his collaborators were the first to experimentally demonstrate that “phantom” traffic jams, which seemingly occur without an obvious cause but are due to human driving behavior, can be eliminated via control of a small fraction of automated vehicles in the flow. Work is a recognized transportation expert whose work has appeared in media outlets including ABC’s Good Morning America, Reuters, Wired, and MIT Technology Review.

Dr. Work received a 2018 Gilbreth Lectureship from the National Academy of Engineering and a 2014 CAREER Award from the National Science Foundation. He earned a BS from Ohio State in 2006, and an MS (2007) and PhD (2010) from UC Berkeley, all in civil and environmental engineering.

William Barbour

Thu, 01 Jan 2026 00:00:00 +0000

Dr. William Barbour is a Senior Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. His research applies novel and advanced computational techniques to transportation systems engineering, including big data analytics, machine learning, optimization, and artificial intelligence.

His interests span freight rail operations, pedestrian accessibility, public transit, and transportation policy. Prior to Vanderbilt he worked at Oak Ridge National Laboratory and CSX Transportation. He also teaches gifted high school students through Vanderbilt Programs for Talented Youth on topics including sensor technology and data analysis.

Matt Bunting

Wed, 01 Jan 2025 00:00:00 +0000

Dr. Matthew Bunting is a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. He joined Vanderbilt in 2022 having previously been a postdoctoral scholar at the University of Arizona from 2020-2022. His research is in embedded control software and visualization for cyber-physical systems.

Bunting received the Ph.D. in Electrical and Computer Engineering from the University of Arizona in 2019. He worked as part of the Compositional Systems Laboratory while a PhD student in Arizona. Since 2009, he has been known for his work involving the design and implementation of biologically inspired behaviors in a mobile hexapod robot.