Wei Fan

Education: Ph.D. in Civil Engineering – Transportation, The University of Texas at Austin

Courses Taught:

• CEGR 5161 – Advanced Traffic Engineering
• CEGR 6262 – Connected and Autonomous Vehicles
• CEGR 6167 – Discrete Choice Modeling
• Econometrics and Data Analysis
• CEGR 6161/8161 – Traffic Control and Operation
• CEGR 5262 – Traffic Engineering
• CEGR 6164/8164 – Traffic Safety
• CEGR 6166/8166 – Urban Transportation Networks: Operations and Optimization

Biography:

Dr. Wei (David) Fan is a Full Professor and Transportation Area Coordinator in the Department of Civil and Environmental Engineering (CEE) at the University of North Carolina at Charlotte (UNC Charlotte), where he also holds the title of Distinguished Scholar in the William States Lee College of Engineering (LCoEN). He serves as Director of the U.S. Department of Transportation’s University Transportation Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE). Additionally, he is the Thrust Leader and Associate Director of the NC Transportation Center of Excellence on Connected and Autonomous Vehicle Technology.

Dr. Wei (David) Fan’s research spans a wide spectrum of transportation challenges, united by the goal of creating smarter and safer mobility systems. His work encompasses big data analytics (machine learning, artificial intelligence, travel demand analysis, transportation safety data, and discrete choice modeling), as well as emerging vehicle technologies, including connected, autonomous, and electric vehicles (technology development, impact assessment, simulation, optimization, and control). He also advances research in shared mobility and multimodal transportation systems—such as carsharing, bikesharing, public transit, and active transportation modes—as well as traffic operations and control, including traffic simulation, active traffic management, variable speed limits, and managed lanes. His expertise further includes transportation system analysis and network modeling, covering topics such as traffic assignment, network design, freeway improvements, travel time reliability, bottleneck mitigation, and congestion pricing. Complementing this broad research portfolio, Dr. Fan has strong foundations in operations research (optimization and statistics) and transportation-related software development.

He currently serves as Editor-in-Chief of the International Journal of Transportation Science and Technology, Associate Editor of the ASCE Journal of Transportation Engineering, Part A: Systems, IEEE Transactions on Intelligent Transportation Systems, and Transportation Planning and Technology. He is also a handling editor for the Transportation Research Record (TRR) and serves on several additional editorial boards. Dr. Fan has been Principal Investigator or Co-Principal Investigator on research projects totaling over $17.35 million in funding. His sponsors include USDOT, FHWA, NCHRP, SHRP2 Education Connection, TxDOT, and NCDOT. He has published 140 peer-reviewed journal articles, in addition to numerous proceedings papers and technical reports in his areas of expertise. In September 2024, Dr. Fan was ranked among the top 2% of the most-cited scientists worldwide in both “Single Year 2023” and “Career” categories in the fields of “Economics and Business” (Logistics and Transportation) and “Civil Engineering.”

Personal Website: https://sites.google.com/view/professorweifan/