Jiawei Wang now is a postdoctoral researcher in Center for Spatial Information Science, The University of Tokyo. Wang received his PhD degree in Civil Engineering (Transportation) from McGill University, supervised by Prof Lijun Sun. During his PhD, he worked on traffic control with machine learning techniques, especially on how to address bus bunching through multi-agent reinforcement learning. He received his B.E. and M.S. degrees from the Department of Intelligent Engineering at Sun Yat-sen University, Guangzhou, China, where he mainly worked on urban network traffic prediction with deep learning.

My research interest

• Intelligent transportation systems
• Traffic control
• Public transportation operation
• Urban mobility understanding and optimization
• Reinforcement learning
• AI for Social Good

Selected publications

1. Wang J, Chen R, He Z. Traffic speed prediction for urban transportation network: A path based deep learning approach. Transportation Research Part C: Emerging Technologies, 2019, 100: 372-385.
2. Wang J, Sun L. Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework. Transportation Research Part C: Emerging Technologies, 2020, 116: 102661.
3. Wang J, Sun L. Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. Presented at IJCAI-2021

Contact

jiawei-dot-wang4-at-mail-dot-mcgill-dot-ca

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