Dr. Y. (Yufei) Yuan
Profile
Yufei Yuan is a researcher at the department of Transport and Planning. After receiving his M.Sc. degree in transport and planning from Delft University of Technology in 2008, he joined the department of Transport & Planning as a PhD candidate. He defended his thesis, titled ‘Lagrangian Multi-class Traffic state estimation’ in March 2013.
During the past years, his research interest lies with traffic flow theory and simulation, data mining and processing, traffic state estimation and prediction, traffic management and analysis under evacuations, intelligent transportation systems in general for “fast” vehicular traffic. His focus now is extending to “active traffic”, including pedestrian and bicyclist flows, covering from modelling underpinning to simulation implementation. He is dedicated to develop a multi-scale simulation platform for slow modes, under the scope of the ALLEGRO project.
Research
During the past years, his research interest lies with traffic flow theory and simulation, data mining and processing, traffic state estimation and prediction, traffic management and analysis under evacuations, intelligent transportation systems in general for “fast” vehicular traffic. His focus now is extending to “active traffic”, including pedestrian and bicyclist flows, covering from modelling underpinning to simulation implementation. He is dedicated to develop a multi-scale simulation platform for slow modes, under the scope of the ALLEGRO project.
Research themes:
- Pedestrians and active modes
CTB3000 - Bachelor End Project
Y. Yuan, and S.P. Hoogendoorn. A generalised adaptive smoothing method for state estimation of generic two-dimensional flows. Transportation Research Record. 2561: 18-24. 2016
A. Duret and Y. Yuan. Traffic State Estimation Based on Eulerian and Lagrangian observations in a Mesoscopic Modeling Framework. Transportation Research Part B. 101: 51-71. 2017
Y. Yuan, B. Goñi-Ros, W. Daamen, and S.P. Hoogendoorn. Investigating cyclist interaction behavior through a controlled laboratory experiment. Submitted to Journal of Transport and Land Use.
Y. Yuan, B. Goñi-Ros, W. Daamen, and S.P. Hoogendoorn. Social-force model describing pedestrian and cyclist behaviour in shared spaces. Proceedings of TGF 2017.
Y. Yuan, W. Daamen, D. Duives, and S.P. Hoogendoorn. Comparison of three algorithms for real-time pedestrian state estimation – supporting a monitoring dashboard for big events. In: Proceedings of the 19th International IEEE Conference on Intelligent Transportation Systems (pp. 2601-2606). Rio de Janeiro, Brazil. 2016
Dr. Ir. Yufei Yuan
Researcher
- +31 (15) 27 86304
- y.yuan@tudelft.nl
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Faculty of Civil Engineering and Geosciences
Building 23
Stevinweg 1
2628 CN Delft
Room: 4.24
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Dr.ir. Y. Yuan MSc
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Yufei Yuan is a tenured researcher at Delft University of Technology in the Netherlands. He received his M.Sc. degree in transport and planning in 2008 and the Ph.D. in 2013, respectively, both from Delft University of Technology. During the past years, his research interest lies with traffic flow theory and simulation, data mining and processing, traffic state estimation and prediction, traffic management and analysis under evacuations, intelligent transportation systems in general for “fast” vehicular traffic. His focus now is extending to “slow/active traffic”, including pedestrian, bicyclist and micro-mobility flows, covering data collection, behavioral interpretation, modelling underpinning, simulation implementation, and data-driven applications.