Danjue Chen
Scholar

Danjue Chen

Google Scholar ID: xj6aeEwAAAAJ
North Carolina State University
Connected-Automated VehicleHuman-Automation InteractionSmart Citeis
Citations & Impact
All-time
Citations
2,737
 
H-index
26
 
i10-index
30
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Recipient of the NSF CAREER award. Her research has been sponsored by NSF, USDOT, and state DOTs.
Research Experience
  • Associate Professor in the Dept. of Civil, Construction, and Environmental Engineering at NC State University. Research areas cover experimental testing of automated vehicles, modeling and control of connected automated vehicles (CAVs), human-automation interaction involving CAVs, and smart cities.
Education
  • PhD from the Georgia Institute of Technology (2012). Prior to NCSU, she had worked at UMass Lowell, University of Wisconsin - Madison, and California PATH at the University of California, Berkeley.
Background
  • Research interests include: (1) Experimental testing of automated vehicles; (2) Modeling and control of connected automated vehicles (CAVs); (3) Human-automation interaction involving CAVs; (4) Smart cities. Her research aims to better understand the fundamental nature of traffic flow, particularly with cutting-edge vehicle technologies such as connected vehicles and autonomous vehicles; understand the human-cyber-physical-system of smart vehicles which includes sensing, computation, communication and control; understand the complex interaction between human and machines (like smart vehicles); and leveraging emerging vehicular technologies to enable safe, efficient, and eco transportation.