Less Traffic on the Road to Tomorrow

Civil engineers and computer scientists Daniel Work and Jonathan Sprinkle conducted the world’s largest real-world road test on a stretch of I-24 in Nashville to see how semi-autonomous vehicles can ease traffic for more sustainable and less stressful driving.

We’re choosing technologies that are not in the distant future. They’re barely different from the things that we have available today, and nobody notices what changed. It’s just better.
Daniel Work
Professor of civil and environmental engineering and computer science and director of graduate studies in civil engineering

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Daniel Work

Professor of civil and environmental engineering and computer science and director of graduate studies in civil engineering

Daniel 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. Daniel pioneered methods for monitoring and controlling road traffic using vehicles, not fixed infrastructure, to sense and control road congestion.

Learn more about Daniel

Jonathan Sprinkle

Professor of computer science, civil and environmental engineering and electrical and computer engineering and Institute for Software Integrated Systems (ISIS) executive council member

Jonathan Sprinkle has been a professor of computer science at Vanderbilt University since 2021. He is a member of the Institute for Software Integrated Systems, where he serves on the Executive Council with responsibility for partnerships. His research interests and experience are in model-based approaches to cyber-physical systems, and he teaches courses ranging from systems modeling and control to mobile application development and software engineering.

Learn more about Jonathan
The Work Lab | The Sprinkle Lab | About I-24 MOTION

AI-powered cruise control system may pave the way to fuel efficiency and traffic relief

Vanderbilt faculty connect with regional partners, share interdisciplinary mobility, sustainability and resilience innovations at inaugural Tennessee Smart Mobility Expo

Vanderbilt joins NSF-funded coalition to shape the future of mobility in Tennessee

Vanderbilt computer science professor seeks to make existing car systems smarter as part of $6 million NSF grant

I-24 MOTION in the News

Fox News: AI-powered cruise control can stop ‘phantom traffic jams’ before they start (May 4, 2023)

Automotive World: Efficiency over speed: ADAS and AI tackle road congestion (Jan. 31, 2023)

Axios Nashville: Researchers zero in on Tennessee’s I-24 to study traffic jams (Dec. 12, 2022)

Associated Press: Researchers: AI in connected cars eased rush hour congestion (Nov. 23, 2022)

Tennessean: A Vanderbilt University and TDOT project could create a more consistent commute (Oct. 1, 2021)
William Barbour (PhD’20) is a research scientist at the Institute for Software Integrated Systems, researching data and artificial intelligence applications to transportation systems. He led the software development of the AI-decision support system that powers the integrated corridor management of the I-24 Smart Corridor.

Matt Bunting is also a research scientist at ISIS. He first connected with Jonathan Sprinkle when they were conducting research at the University of Arizona.

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