Dan Work
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.
Projects
- Artificial Intelligence-Powered Decision Support Tools for Integrated Corridor Management
- Managing epidemics by managing mobility
- Signatures and Barcodes: Data-driven Understanding of Transportation System Performance during Extreme Events
- Study and analysis of an I-24 Smart Corridor Open Road Test Bed
- CIRCLES: Congestion Impact Reduction via CAV-in-the-loop Lagrangian Energy Smoothing
- Collaborative Research: CPS: TTP Option: Medium: Coordinating Actors via Learning for Lagrangian Systems (CALLS)
- CPS: TTP Option: Medium: Collaborative Research: Smoothing Traffic via Energy-efficient Autonomous Driving (STEAD)
- Decision Support System for Integrated Corridor Management using Artificial Intelligence
- Decision Support System for Integrated Corridor Management using Artificial Intelligence
- Understanding Fleet Types for Long Haul and Regional/Short Haul Trucks on TN Roadways
- Managing epidemics by managing mobility
- SCC-VO: Community First: A Smart and Connected Communities Virtual Organization
- Collaborative Research: CPS: TTP Option: Medium: Coordinating Actors via Learning for Lagrangian Systems (CALLS)
- Decision Support System for Integrated Corridor Management using Artificial Intelligence - I24 Motion Supplement
- PFI-TT: Local Sensing on Automated Vehicles
- I-24 Smart Corridor AI Decision Support 2.0