Rate My Professor Danjue Chen

Dr. Danjue Chen is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University, joining in August 2024 as part of the transportation systems and materials group. She directs the SHINE (Smart Human-centered Transportation AutoNomy for Everyone) Lab and teaches courses including CE 305 Traffic Engineering and CE 497/595 Traffic Engineering with Connected Automated Vehicle Technologies. Previously, she was an associate professor at the University of Massachusetts Lowell. After earning her Ph.D., she served as a postdoctoral scholar at the University of Wisconsin-Madison and California PATH at the University of California, Berkeley. Chen holds a Ph.D. in Civil Engineering from the Georgia Institute of Technology (2012) and a B.S. in Environmental Science from Peking University (2007).

Her expertise is in traffic science and transportation engineering, focusing on traffic flow modeling and control, modeling and control of connected automated vehicles (CAVs), human-automation interaction involving CAVs, and smart cities. Her research seeks to understand traffic flow fundamentals with connected and autonomous vehicles, human-cyber-physical systems in smart vehicles encompassing sensing, computation, communication, and control, interactions between humans and machines, and applications of vehicular technologies for safe, efficient, and eco-friendly transportation. Funded by NSF, USDOT, and state DOTs, her work employs analytical, numerical, and experimental approaches. Chen is a founding member of the Transportation Research Board subcommittee on traffic flow modeling for connected and automated vehicles. Notable awards include the NSF CAREER Award (2020), Transportation Research Board Greenshields Prize, and Transportation Research Board Cunard Award for Best First Young Author Paper in Operations. Key publications encompass 'Traffic hysteresis: a driver behavioral perspective' (Transportation Research Part B, 2012), 'Variable speed limit control for steady and oscillatory queues at fixed freeway bottlenecks' (Transportation Research Part B, 2014), 'Capacity-drop at Extended Bottlenecks: Merge, Diverge, and Weave' (Transportation Research Part B, 2018), and 'Towards vehicle automation: roadway capacity formulation for traffic mixed with regular and automated vehicles' (Transportation Research Part B, 2017).