Research

Dr. Fan is the Director of the USDOT University Transportation Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) housed directly under the CEE Department at UNC Charlotte. He is also a thrust leader/associate director of the NC Transportation Center of Excellence on Connected and Autonomous Vehicle Technology (NC-CAV). Dr. Fan is also the founding director of the Smart, Safe and Sustainable (S3) Transportation Lab at UNC Charlotte

Dr. Fan’s primary research interests include big data analytics for transportation (machine learning, artificial intelligence, travel demand analysis, transportation safety data analysis, and discrete choice modeling); connected, autonomous, and electric vehicles (technologies, impact analysis, simulation and modeling, optimization and control); shared mobility and multimodal transportation (carsharing, bike-sharing, public transit, and non-motorized transportation (bicycle and pedestrian) systems planning and operations); traffic system operation and control (traffic simulation, and active traffic management including variable speed limits and managed lanes); transportation system analysis and network modeling (equilibrium-based traffic assignment, network design and highway improvements, travel time reliability, freeway bottleneck identification and mitigation, and congestion pricing); operations research (optimization and statistics); and computer software development.  

Dr. Fan has been and is involved in many sponsored projects with a total of over 17.35 million dollars in funding , having been a principal or co-principal investigator on many research studies for many sponsors such as the U. S. Department of Transportation (USDOT), Federal Highway Administration (FHWA), National Cooperative Highway Research Program (NCHRP), SHRP2 Education Connection, Texas Department of Transportation (TxDOT) and North Carolina Department of Transportation (NCDOT).

Research Collaborations: 

"There are two kinds of people, those who do the work and those who take the credit. Try to be in the first group; there is less competition there."