Kui Yang

Kui Yang is a PostDoc Research Associate at the Technical University of Munich since December 2019.

Dr. Yang received a PhD in Transportation Engineering (in 2019) and a B.Sc. degree in Transportation Engineering (in 2014), both from Tongji University (China). Besides, in 2018, he was a visiting researcher in Loughborough University (United Kingdom).

His key qualifications and research interests are traffic safety analysis, traffic data mining, machine learning, Intelligent Transportation System, Connected and Autonomous Vehicle, driving behavior and big data.

Publications

Yang, Kui, et al. "A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation." Transportation research part C: emerging technologies 96 (2018): 192-207.
Yang, Kui, et al. "How to determine an optimal threshold to classify real-time crash-prone traffic conditions?." Accident Analysis & Prevention 117 (2018): 250-261.
Yang, Kui, et al. "Application of aggregated lane traffic data from dual-loop detector to crash risk evaluation." Journal of Tongji University (Natural Science) 44.10 (2016): 1567-1572.
Yang, Kui, et al. Predicting real-time crash risk on urban expressways using Recurrent Neural Network. Transportation Research Board 98th Annual Meeting, Washington D.C., USA, 2019.1.13-17.
Yang, Kui, et al. Deep learning for real-time crash prediction on urban expressways. Transportation Research Board 97th Annual Meeting, Washington D.C., USA, 2018.1.7-11.
Yang, Kui, et al. Utilizing stochastic gradient descent for model updating in real-time crash risk prediction. Transportation Research Board 96th Annual Meeting, Washington D.C., USA, 2017.1.8-12.
Yang, Kui, et al. Study on Threshold Selection Method for Real-time Crash Prediction. Transportation Research Board 95th Annual Meeting, Washington D.C., USA, 2016.1.10-14.

REVIEWING ACTIVITIES

Transportation Research Part C: Emerging Technologies

Work Experience

Dec. 2019 - 2022

Post-Doctoral Research Associate
Technical University of Munich
Arciststraße 21, D-80333, München, Germany

Education

Sep. 2014 – Nov. 2019	PhD in Transportation Engineering College of Transportation Engineering, Tongji University, China Thesis: Real-Time Crash Risk Investigation for Active Traffic Safety Management on Urban Expressways
Sep. 2010 – Jun. 2014	B.Sc. in Transportation Engineering College of Transportation Engineering, Tongji University, China Thesis: Risk Assessment Analysis of Urban Expressway Traffic Operation

Awards and Scholarships

Dr. Yang has won over 20 awards from 2010, including 6 awards during his PhD career.

Selected Awards:

Apr. 2019	Shanghai Outstanding Graduates Awards
Dec. 2018	Jingchuan Scholarship of Tongji University
Dec. 2016	IBM mainframe technology application 2016 National Campus Competition, Second Prize
Oct. 2013	National Encouragement scholarship (China)