Associate Professor
University of Kansas
Lawrence, Kansas, United States
Dr. Alexandra Kondyli is the Thomas E. Mulinazzi Chair’s Council Associate Professor of Transportation Engineering in Civil, Environmental and Architectural Engineering at the University of Kansas. Dr. Kondyli is also the Associate Director of the Mid-America Transportation Center (MATC-TSE) and the Associate Director of the University of Kansas Transportation Center for MATC-TSE. Dr. Kondyli’s research interests include traffic operations and management, highway capacity, microsimulation, traffic flow theory, driver behavior, human factors, and connected and automated vehicles. Prior to her appointment at the University of Kansas, Dr. Kondyli was a postdoctoral associate at the University of Florida Transportation Research Center. Dr. Kondyli has worked on research projects funded by Kansas DOT, Florida DOT, FHWA, USDOT, the National Science Foundation (NSF), and by the National Cooperative Highway Research Program (NCHRP). She has authored and co-authored more than 100 publications, presentations and reports related to traffic operations, simulation, highway capacity, safety, and driver behavior. Dr. Kondyli is currently the Secretary of the Standing Committee on Highway Capacity and Quality of Service (ACP40) of the Transportation Research Board (TRB). She is also a member and paper review coordinator of the Standing Committee on Road User Measurement and Evaluation (ACH50) of TRB. She has consulting experience in the fields of traffic operations, geometric design and roadway safety. Dr. Kondyli received her Graduate Diploma in Rural and Surveying Engineering from the National Technical University of Athens, Greece, in June 2003. She received her M.S. degree in 2005 and her Ph.D. degree in 2009 in Civil Engineering from the University of Florida, Gainesville, Florida.
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Evaluating The Platooning Parameters and Future Impacts of CAVs at Freeway Merging Segments
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Investigating the Control Transition in Semi-automated Vehicles Applying Machine Learning Techniques
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Predictive Modeling of Driver Risk Perception Utilizing Driving Simulator: A Deep Learning Approach
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Defining LOS criteria for congested traffic conditions
Wednesday, June 11, 2025
10:45 AM – 11:00 AM MT