About
Yufei Yuan obtained his bachelor degree in Engineering Mechanics in Shanghai Jiao Tong University in 2006, and he continued his master study with scholarship at the department of Transport and Planning, Delft University of Technology, in the Netherlands. After receiving his M.Sc. degree in transport and planning in 2008, he joined the department of Transport & Planning as a PhD candidate. He was awarded with Doctoral degree, with the thesis titled 'Lagrangian Multi-class Traffic State Estimation' in March 2013. He also stayed at University of Southampton in the UK (with the scientific grant from the 'COST Action') and at research laboratory LICIT/IFSTTAR in France, as a visiting scholar. Currently, he is affiliated as a senior (associate) researcher at the Department of Transport & Planning (T&P), Delft University of Technology (TU Delft). He is a co-director of the Active mode lab in T&P, and the coordinator of the collaborative BSc programme in Traffic and Transportation between TU Delft and Beijing Jiaotong University.
His research interests include traffic flow theory and simulation, data mining and processing, traffic state estimation and prediction, traffic management under evacuations and large-scale events, intelligent transportation systems, with a background in “fast” vehicular traffic. More recently, his research has expanded towards “slow/active modes”, including pedestrian, cycling, and micro-mobility flows, covering data collection, behavioral analysis, modelling foundations, simulation development, and data-driven applications.