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PhD students and Postdoc openings:
PhD students and Postdoc openings:
Currently, our lab has job openings for fully-funded Ph.D. students/postdoc positions. (Information valid until deleted)
Currently, our lab has job openings for fully-funded Ph.D. students/postdoc positions. (Information valid until deleted)
Hi, I'm Hao Zhou, an Assistant Professor at the University of South Florida.
Hi, I'm Hao Zhou, an Assistant Professor at the University of South Florida.
Research statement: In this new era of transportation featuring self-driving and machine learning, challenges of reducing traffic congestion are still out there, if not getting worse. We believe such limitations are due to the lack of a good combination of new technologies and old theories. To fill the gap, we are particularly interested in teaching new technologies old tricks, i.e., incorporating traffic flow/network knowledge into self-driving/machine learning for traffic control.
Research areas:
Research areas:
Traffic flow theory
Traffic flow theory
Network science
Network science
CAV modeling & testing
CAV modeling & testing
Deep reinforcement learning
Deep reinforcement learning
Education:
Education:
2018-2022: Ph.D., Transportation Engineering, Georgia Institute of Technology
2015-2018: Master, Transportation Engineering, Southeast University
2011-2015: Bachelor, Transportation Engineering, Southeast University
Research Porfolio:
Research Porfolio:
traffic flow theory & percolation theory
self-driving design and road test
Percolation-based signal control
Metering signal at perimeter of clusters
DRL training for fractal signal control
Selected publications:
Selected publications:
Laval, J., & Zhou, H. (2022). Congested urban networks tend to be insensitive to signal settings: Implications for learning-based control. IEEE Transactions on Intelligent Transportation Systems.
Li, T., Chen, D., Zhou, H., Xie, Y., & Laval, J. (2022). Fundamental diagrams of commercial adaptive cruise control: Worldwide experimental evidence. Transportation Research Part C: Emerging Technologies, 134, 103458.
Zhou, H., Toth, C., Guensler, R., & Laval, J. (2022). Hybrid modeling of lane changes near freeway diverges. Transportation Research Part B: Methodological, 165.
Zhou, H., Zhou, A., Laval, J., Liu, Y., & Peeta, S. (2022). Incorporating driver relaxation into factory adaptive cruise control to reduce lane-change disruptions. Transportation Research Record, 03611981221085517.
Zhou, H., Zhou, A., Li, T., Chen, D., Peeta, S., & Laval, J. (2022a). Congestion-mitigating mpc design for adaptive cruise control based on Newell’s car following model: History outperforms prediction. Transportation Research Part C: Emerging Technologies, 142.
Zhou, H., Zhou, A., Li, T., Chen, D., Peeta, S., & Laval, J. (2022b). Significance of low-level control to string stability under adaptive cruise control: Algorithms, theory, and experiments. Transportation Research Part C: Emerging Technologies, 140, 103697.
Li, T., Chen, D., Zhou, H., Laval, J., & Xie, Y. (2021). Car-following behavior characteristics of adaptive cruise control vehicles based on empirical experiments. Transportation Research Part B: Methodological, 147, 67–91.
Zhou, H., Laval, J., Zhou, A., Wang, Y., Wu, W., Qing, Z., & Peeta, S. (2021). Review of learning-based longitudinal motion planning for autonomous vehicles: Research gaps between self-driving and traffic congestion. Transportation Research Record, 03611981211035764.
USF and Tampa in the news:
USF and Tampa in the news:
"Tampa Ranked a Best U.S. City for Good Jobs and Low Cost of Living"
"Tampa Ranked a Best U.S. City for Good Jobs and Low Cost of Living"
"AAU membership to bring extraordinary benefits to USF, Tampa Bay and state of Florida"
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