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Open Sans

NAE China US Frontiers of Engineering Symposium Speaker

NAE Gilbreth Lecturer

2018 Pioneers

Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment

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 Ph.D. (2010) from UC Berkeley, all in civil and environmental engineering.

Adaptive Cruise Control

Traffic

Inverse Modeling

Connected and Autonomous Vehicles

Traffic Estimation and Control

Transportation Cyber Physical Systems

Self-Driving Cars

Transportation Data Analysis

Mathematical Models of Traffic

Mobile Sensing

Cruise Control

Vanderbilt University News Profile

Work Research Group: A transportation cyber physical systems lab

Researchers zero in on Tennessee's I-24 to study traffic jams

Researchers: AI in connected cars eased rush hour congestion

Adaptive cruise control technology could ease phantom traffic jams, Vanderbilt study finds

'An MRI for traffic:' Open road testing now live on I-24

‘Vehicles are getting smarter’: Vanderbilt, TDOT researching automated vehicle technology on I-24

Vanderbilt contributes to smart interstate infrastructure venture

TDOT, Vanderbilt studying self-driving cars on I-24

Scooters are here to stay in Nashville. We have to make it work.

How level-1 AVs may reduce phantom traffic jams

Ford says new tech could prevent 'phantom' traffic jams

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

Professor of Civil and Environmental Engineering

 The CIRCLES Consortium, consisting of Vanderbilt University, UC Berkeley, Temple University and Rutgers University-Camden, in coordination with Nissan North America and the Tennessee Department of Transportation, concluded a five-day open-track experiment on Nov. 18.

Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing (CIRCLES)  Researchers tested an AI-powered cruise control system designed to increase fuel savings and ease traffic using 100 specially equipped Nissan Rogue vehicles. 

The experiment—which ran from Nov. 14 through Nov. 18 on a sensor-filled portion of Interstate 24—is based on the results from an earlier, closed-track study where a single smart vehicle smoothed human-caused traffic congestion, leading to significant fuel savings. 

A single AI-equipped vehicle could influence the speed and driving behavior of up to 20 surrounding cars, causing a kind of positive ripple effect in day-to-day traffic. The CIRCLES Consortium will spend the next several months analyzing data collected on the AI-equipped vehicles and their impact on the flow of traffic over the duration of the experiment. 

The test was conducted on the recently opened I-24 MOTION testbed, the only real-world automotive testing environment of its kind in the world. Stretching for four miles just southeast of downtown Nashville, the smart highway is equipped with 300 4K digital sensors capable of logging 260,000,000 vehicle-miles of data per year. 

The CIRCLES Consortium research is supported by the National Science Foundation and the U.S. Departments of Transportation and Energy. Support was also provided by Toyota North America and General Motors. The experiment included Toyota RAV4 and Cadillac XT5 vehicles. 
  

 Preliminary vehicle and traffic flow detection in the I-24 Mobility Technology Interstate Observation Network (MOTION).  “On November 16 alone, the system recorded a total of 143,010 miles driven and 3,780 hours of driving. The I-24 MOTION system, combined with vehicle energy models developed in the CIRCLES project, provided an estimation of the fuel consumption of the whole traffic flow during those hours. The concept we are hoping to demonstrate is that by leveraging this new traffic system to collect data and estimate traffic and applying artificial intelligence technology to existing cruise control systems, we can ease traffic jams and improve fuel economy,” the CIRCLES team said in a joint statement.   “Nissan has always been a pioneer in automotive innovation, and with our long-term vision, Nissan Ambition 2030, we know our future is autonomous, connected and electric,” said Liam Pedersen, deputy general manager at the Nissan Alliance Innovation Lab in California’s Silicon Valley. “CIRCLES shares our common goal of building a safer, cleaner world by empowering mobility.”   “When it comes to transportation and mobility in Tennessee, we are at a critical juncture,” said Deputy Governor and TDOT Commissioner Butch Eley. “Traffic congestion is now becoming more prominent throughout Tennessee, and not just in urban areas. Addressing these challenges will force us to think critically about solutions, as transportation infrastructure projects traditionally are not identified nor completed before traffic congestion more dramatically affects our quality of life. One of these solutions is greater use of technology to enhance mobility. We are confident that this project and others like it will further strengthen Tennessee’s reputation for being a hub of automotive excellence.”    “The I-24 MOTION project is a first-of-its-kind testbed, where we’ll be able to study in real time the impact connected and autonomous vehicles have on traffic in an open road setting,” said Meredith Cebelak, adjunct instructor in civil and environmental engineering at Vanderbilt and Tennessee transportation and transportation systems management and operations department leader at Gresham Smith. “The permanent infrastructure has been designed and installed, meaning the testbed will always be ‘on’ and available to researchers. By unlocking a new understanding of how these vehicles influence traffic, vehicle, infrastructure, and traffic management strategies, design can be optimized to reduce traffic concerns in the future to improve safety, air quality and fuel efficiency.”    “Partnership across universities, government and the private sector is the key to pioneering projects like this one,” Vice Provost for Research and Innovation Padma Raghavan said. “From its earliest inception, all the partners in this effort have played vital roles. That trusted collaboration continues as the team analyzes results to seek new insights to address pressing challenges in transportation in Tennessee and beyond.”  

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

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