I am Yi Yu (Eve), a Young Researcher at Shanghai AI laboratory. My research interests include Intelligent Transportation Systems, AI Safety, Data Economics, and the development of AI agents.

I received my PhD from Zhejiang University, where I worked under the supervision of Prof. Dianhai Wang. From 2020 to 2022, I was a visiting scholar at Imperial College London, where I collaborated closely Prof. Washington Ochieng. I obtained my bachelor’s degree major in civil Engineering and minor in Law from Zhejiang University in 2017. Since 2013, I have studied in and visited Imperial College London, University of Tokyo, Waseda University, University of Toronto, University of Ottawa, Western University, Queens Unversity, York University. I have published several articles and participated in a couple of national and municipal research projects and serve as reviewer of IEEE Transactions on Systems, Man and Cybernetics, IEEE Transaction of Intelligent Vehicle, etc.

As a curious and passionate learner, I also cover knowledge of various areas, such as law, computer science, economics, social science, etc. During my spare time, I actively involved in academic activities and volunteerings. I hope the world could become slightly better owning to my contribution. I’m also a geek, fascinated productivity tools like Python, SQL, ArcGIS, Notion, Matlab, Photoshop, CAD…

Education

Research Interests

• Traffic State Estimation
• Traffic Flow Modeling
• Intelligent Traffic System
• Data Economics

Selected Publications

• • Zeng, J, Yu, Y, Chen, Y, Yang, D, Zhang, L, and Wang, D (2023). Trajectory-as-a-Sequence: A novel travel mode identification framework. Transportation Research Part C: Emerging Technologies 146, 103957. 10.1016/j.trc.2022.103957.

• Qi H, Yu Y, Tang Q, Hu X (2022) Investigation of intersection traffic deadlock formation and the probability with a petri net-based modeling approach. IET, accept.

• Yu, Y., Cui, Y., Zeng, J., He, C., Wang, D., 2022. Identifying traffic clusters in urban networks based on graph theory using license plate recognition data. Physica A: Statistical Mechanics and its Applications 591, 126750. https://doi.org/10.1016/j.physa.2021.126750

• Cui, Y., Yu, Y., Cai, Z., Wang, D., 2022. Optimizing Road Network Density Considering Automobile Traffic Efficiency: Theoretical Approach. J. Urban Plann. Dev. 148, 04021062. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000780

• Yu Y, Zeng J, Wang D (2021) Free-flow travel time estimation in urban roads based on a data sampling method. Journal of Zhejiang University(Engineering Science), accept.

• Zeng, J., Wang, D., Zhang, G., Yu, Y., Cai, Z., 2021. Passenger-to-Car Assignment Optimization Model for High-Speed Railway with Risk of COVID-19 Transmission Consideration. Mathematical Problems in Engineering 2021, e7121010. https://doi.org/10.1155/2021/7121010

• Cui, Y., Yu, Y., Wang, D., 2021. Impact of the Link Length on the Delay in Two-Way Signal Coordination. IEEE Access 9, 130823–130833. https://doi.org/10.1109/ACCESS.2021.3113695

• Yu, Y., Chen, M., Qi, H., Wang, D., 2020. Copula-Based Travel Time Distribution Estimation Considering Channelization Section Spillover. IEEE Access 8, 32850–32861. https://doi.org/10.1109/ACCESS.2020.2970530