周悅
助理教授
所在部門 工程科學系
聯繫電話 8897-3614
辦公室 A303b
電子信箱 zhouyue@must.edu.mo

Academic Qualification

Ph.D., Queensland University of Technology

Master of Science, University of Nebraska - Lincoln

Bachelor of Engineering, Tongji University

 

Teaching Area

 

Research Area

 

Professional Services

 

Working Experience

 

Academic Publication (selected)

(The names marked with an underscore are students under my supervision.)

  1. Chen, J., Zhang, Y., Zhou, Y., Wu, Y., Chung, E., Sartoretti, G. (2025). Learning-based Lane Selection and Driving Orders for Connected Automated Vehicles at Multi-lane Freeway Merging Sections. Early Access. IEEE Transactions on Intelligent Transportation Systems.

  2. Chen, J., Wu, Y., Zhou, Y., Chung, E., Wang, S. (2025).Solving Connected Automated Vehicle Merging Problems: A Generalized Benders Decomposition-Based Approach for Mixed-Integer Nonlinear Programming. Transportation Research Part B: Methodological, 200, 1-27.

  3. Zhou, Y.*, Chen, J., Chung, E., Ozbay, K. (2023). CAV-Enabled Active Resolving of Temporary Mainline Congestion Caused by Gap Creation for On-Ramp Merging Vehicles. IEEE Transactions on Intelligent Transportation Systems, 25(7). 6873-6888.

  4. Chen, J., Zhou, Y., Chung, E. (2023). An Integrated Approach to Optimal Merging Sequence Generation and Trajectory Planning of Connected Automated Vehicles for Freeway On-Ramp Merging Sections. IEEE Transactions on Intelligent Transportation Systems 25(2). 1897-1912.

  5. Zhou, Y.*, Kachroo, P., Ozbay, K. (2023). A note on the minimum-norm in dual space approach to some classical linear optimal control problems. The Journal of Engineering, 2023(6).

  6. Zou, X., Chung, E., Zhou, Y., Long, M., Lam, W. H.K. (2023). A feature extraction and deep learning approach for network traffic volume prediction with detector failure. Computer-Aided Civil and Infrastructure Engineering.

  7. Long, M., Zou, X., Zhou, Y., Chung, E. (2022). Deep reinforcement learning for transit signal priority in a connected environment. Transportation Research Part C: Emerging Technologies, 142, 103814.

  8. Chen, J., Zhou, Y.*, Chung, E., Ozbay, K. (2022). CAV-based active congestion resolving for improving mainline traffic flow efficiency of a freeway on-ramp merging section. In The 25th IEEE International Conference on Intelligent Transportation Systems (ITSC). pp. 216-223.

  9. Zhou, Y.*, Ozbay, K., Kachroo, P., Chung, E. (2021). A supervised switching-mode observer for traffic state and parameters and application to adaptive ramp metering. Transportmetrica A:Transport Science, 18(3). 1178-1206.

  10. Zhou, Y.*, Ozbay, K., Kachroo, P., Zuo, F. (2020). Ramp metering for a distant downstream bottleneck using reinforcement learning with value-function approximation. Journal of Advanced Transportation, 2020. 1-13.

  11. Zhou, Y.*, Ozbay, K., Cholette, M. E., Kachroo, P. (2020). A switching mode extended Kalman filter for real-time traffic state and parameter estimation. In Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC). pp. 3512-3519.

  12. Wang, S., Lu, C., Liu, C., Zhou, Y., Bi, J., Zhao, X. (2020). Understanding the energy consumption of battery electric buses in urban public transport systems. Sustainability, 12(23). 10007.

  13. Zhou, Y.*, Chung, E., Bhaskar, A., Cholette, M. E. (2019). A state-constrained optimal control based trajectory planning strategy for cooperative freeway mainline facilitating and on-ramp merging maneuvers under congested traffic. Transportation Research Part C: Emerging Technologies, 109, 321-342.

  14. Zhou, Y.*, Cholette, M. E., Bhaskar, A., Chung, E. (2018). Optimal vehicle trajectory planning with control constraints and recursive implementation for automated on-ramp merging. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3409-3420.

  15. Zhou, Y.*, Cholette, M. E., Bhaskar, A., Chung, E. (2018), Automated on-ramp merging and gap development with speed constraints – a state-constrained optimal control approach. In Proceedings of 2018 Annual American Control Conference (ACC), pp. 4975-4982.

  16. Zhou, Y.*, Chung, E., Cholette, M. E., Bhaskar, A. (2018). Real-time joint estimation of traffic states and parameters using cell transmission model and considering capacity drop. In Proceedings of the 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2797-2804.

  17. Jones, E. G., Franca, D., Zhou, Y., Forsberg, M. (2009). Estimating Train Speeds for Train Preemption using Multiple Sensor Data. In 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services.

  18. Zhou, Y.*, Wang, J., Huang, D., Sun, S. (2009). Pedestrian simulation modeling for World Expo 2010 Shanghai. Journal of Transportation Systems Engineering and Information Technology, 9(2), 141-146.

  19. Yu, C., Zhang, X., Wang, J., Huang, D., Zhou, Y. (2009). Traffic organization with simulation for vehicles on Beijing Olympic venues. Journal of Transportation Systems Engineering and Information Technology, 8(6), 25-31.

 

Research Grants (Selected)

 

Professional Certification and Awards

 

Professional Society Membership