Daniel Work is an associate professor in the Department of Civil and Environmental Engineering, the Department of Electrical Engineering and Computer Science, and the Institute for Software Integrated Systems at Vanderbilt University. Prior to joining the faculty at Vanderbilt, Prof. Work was an associate professor in the Department of Civil and Environmental Engineering (tenured), the Department of Electrical and Computer Engineering (courtesy), and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. Prof. Work earned his bachelor of science degree (2006) from the Ohio State University, and a master of science (2007) and Ph.D. (2010) from the University of California, Berkeley, each in civil engineering. Prior to joining the faculty at Illinois as an assistant professor in 2010, Work was a research intern at Nokia Research Center, Palo Alto from 2008-2009, and a guest researcher at Microsoft Research Redmond in 2010. Prof. Work has research interests in transportation cyber physical systems and transportation data analytics. He currently serves as associate editor of IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C – Emerging Technologies, and is a member of the IEEE Technical Committee on Cybernetics for Cyber-Physical Systems. Prof. Work has received a number of honors and awards including being named to the list of 2018 Pioneers by Connected World, a 2018 Gilbreth Lecturer by the National Academy of Engineering, a UIUC CEE Excellence Faculty Fellow in 2016, the 2015 UIUC ASCE Outstanding Professor, a CAREER Award recipient from the National Science Foundation in 2014, and a recipient of the IEEE ITSS Best Dissertation Award in 2011.
Areas of Expertise (11)
Adaptive Cruise Control
Connected and Autonomous Vehicles
Traffic Estimation and Control
Transportation Cyber Physical Systems
Transportation Data Analysis
Mathematical Models of Traffic
NAE Gilbreth Lecturer
National Academy of Engineering, 2018
NAE China US Frontiers of Engineering Symposium Speaker
National Academy of Engineering, 2017
University of California, Berkeley: Ph.D., Civil and Environmental Engineering
University of California, Berkeley: M.S., Civil and Environmental Engineering
The Ohio State University: B.S, Civil and Environmental Engineering
Selected Media Appearances (3)
Scooters are here to stay in Nashville. We have to make it work.
The Tennessean online
Technology-enabled disrupters have descended on Nashville.
From Uber to Airbnb to Bird, our students are some of the earliest adopters. These technologies have had a positive impact on the lives of our students, faculty and their families.
Now e-scooters are sparking heated debate here in Nashville. While it is easy to have a knee-jerk negative reaction to these change agents – and we agree more can be done on enforcing safety measures – we must acknowledge that disruption can bring about positive change.
How level-1 AVs may reduce phantom traffic jams
Phantom traffic jams — the ones that appear to have no obvious cause — result from human driving behavior. Adaptive cruise control replaces some of these jam-inducing behaviors with algorithms, using sensors to detect the vehicle ahead and adjust cruise speed accordingly. When designed correctly, level-1 AVs may help prevent such traffic patterns from developing.
Ford says new tech could prevent 'phantom' traffic jams
Good Morning America tv
"We had experimented on this in theory, and to see it in practice was thrilling for us," said Vanderbilt engineering professor Dan Work. "Humans, when we're not paying attention, we make these traffic jams worse. These adaptive cruise control systems, we showed, can actually out-perform the human drivers."
Selected Articles (1)
Daniel Work, Juan C. Herrera, Ryan Heering ...
"The growing need of the driving public for accurate traffic information has spurred the deployment of large scale dedicated monitoring infrastructure systems, which mainly consist in the use of inductive loop detectors and video cameras. On-board electronic devices have been proposed as an alternative traffic sensing infrastructure, as they usually provide a cost-effective way to collect traffic data, leveraging existing communication infrastructure such as the cellular phone network.