Rate My Professor Danjue Chen

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).