Shengyue Yao

Research Assistant

Shengyue Yao, M. Sc.

Room 280

since 2017	PhD candidate, automated vehicle platoon management and conttrol in mixed traffic, Institute of Transportation and Urban Engineering, TU Braunschweig
2015 - 2017	Researcher in project "Taking the fast lane" to develop lange-change algorithm for automated driving, Delft University of Technology, Delft
2013 - 2015	Studies: Master of Science - Transportation and Geoinformation Engineering, KTH Royal Institute of Technology, Stockholm
2010 - 2014	Studies: Bachelor - Transportation, Beijing Jiaotong University, Beijing

Yao, S., Shet, R.A., & Friedrich, B. (2019). Managing connected automated vehicles in mixed traffic considering communication reliability: a platooning strategy. In 22nd EURO Working Group on Transportation Meeting (EWGT)
Yao, S., & Friedrich, B. (2019). Managing connected and automated vehicles in mixed traffic by human-leading platooning strategy: a simulation study. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 3224-3229). IEEE.
Yao, S., Knoop, V. L., & van Arem, B. (2017). Optimizing traffic flow efficiency by controlling lane changes: Collective, group, and user optima. Transportation Research Record, 2622(1), 96-104.