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Wenwen Tu


Wenwen Tu

Visiting Scholar
School of Transportation & Logistics
Southwest Jiaotong University

Department of Civil & Environmental Engineering
Faculty of Engineering
University of Waterloo
E-mail: wenchao@swjtu.cn   swjtuctt@gmail.com

Wenwen Tu is a visting scholar completing a joint Ph.D. sponsored by the China Scholarship Council and the Deparment of Civil Engineering at the University of Waterloo. She is working towards a doctoral degree in traffic engineering at Southwest Jiaotong University. Her research focuses on data mining and machine learning as well as traffic congestion monitoring with mobile phone motion sensor data.

Research Interests

  • Data mining and machine learning
  • Traffic congestion recognition with mobile phone motion sensor data
  • Network modeling and optimization
  • Pareto-improving congestion pricing schemes

Previous Publications

Feng Xiao, Wenwen Tu, and Dong Chen. “Traffic Congestion Recognition Based on Mobile Phone Motion Sensor Data,” Journal of Southwest Jiaotong University, Accepted on December 25, 2015.

Wenwen Tu. “The Research of Expressway On-Ramp Traffic Capacity Based on the Gap Theory,” Journal of Wuhan University of Technology (Transportation Science & Engineering), Accepted on December 28, 2015.

Feng Xiao, Wenwen Tu, Gang Kou and Yu Nie. “Achieving Pareto-Improvement with Cyclic Tradable Credits,” The 7th International Workshop on Computational Transpiration Science (CTS 2015), Awarded excellent thesis on July 19, 2015.