| Estimating traffic volumes for signalized intersections using connected vehicle data J Zheng, HX Liu Transportation Research Part C: Emerging Technologies 79, 347-362, 2017 | 241 | 2017 |
| Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration MAM Zulkefli, J Zheng, Z Sun, HX Liu Transportation Research Part C: Emerging Technologies 45, 41-63, 2014 | 124 | 2014 |
| A probabilistic stationary speed–density relation based on Newell’s simplified car-following model SE Jabari, J Zheng, HX Liu Transportation Research Part B: Methodological 68, 205-223, 2014 | 96 | 2014 |
| Tube-based discrete controller design for vehicle platoons subject to disturbances and saturation constraints S Feng, H Sun, Y Zhang, J Zheng, HX Liu, L Li IEEE Transactions on Control Systems Technology 28 (3), 1066-1073, 2019 | 87 | 2019 |
| Various methods for queue length and traffic volume estimation using probe vehicle trajectories Y Zhao, J Zheng, W Wong, X Wang, Y Meng, HX Liu Transportation Research Part C: Emerging Technologies 107, 70-91, 2019 | 86 | 2019 |
| A capacity maximization scheme for intersection management with automated vehicles W Sun, J Zheng, HX Liu Transportation research procedia 23, 121-136, 2017 | 83 | 2017 |
| Estimation of queue lengths, probe vehicle penetration rates, and traffic volumes at signalized intersections using probe vehicle trajectories Y Zhao, J Zheng, W Wong, X Wang, Y Meng, HX Liu Transportation Research Record 2673 (11), 660-670, 2019 | 67 | 2019 |
| Hardware-in-the-loop testbed for evaluating connected vehicle applications MAM Zulkefli, P Mukherjee, Z Sun, J Zheng, HX Liu, P Huang Transportation Research Part C: Emerging Technologies 78, 50-62, 2017 | 59 | 2017 |
| Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections W Ma, L Wan, C Yu, L Zou, J Zheng Transportation research part C: emerging technologies 120, 102821, 2020 | 54 | 2020 |
| Missing data detection and imputation for urban ANPR system using an iterative tensor decomposition approach H Zhang, P Chen, J Zheng, J Zhu, G Yu, Y Wang, HX Liu Transportation Research Part C: Emerging Technologies 107, 337-355, 2019 | 38 | 2019 |
| Real-time detector-free adaptive signal control with low penetration of connected vehicles Y Feng, J Zheng, HX Liu Transportation Research Record 2672 (18), 35-44, 2018 | 31 | 2018 |
| A capacity maximization scheme for intersection management with automated vehicles W Sun, J Zheng, HX Liu Transportation research part C: emerging technologies 94, 19-31, 2018 | 30 | 2018 |
| Real-time movement-based traffic volume prediction at signalized intersections W Li, XJ Ban, J Zheng, HX Liu, C Gong, Y Li Journal of Transportation Engineering, Part A: Systems 146 (8), 04020081, 2020 | 25 | 2020 |
| Maximum likelihood estimation of probe vehicle penetration rates and queue length distributions from probe vehicle data Y Zhao, W Wong, J Zheng, HX Liu IEEE Transactions on Intelligent Transportation Systems 23 (7), 7628-7636, 2021 | 23 | 2021 |
| Traffic signal optimization using crowdsourced vehicle trajectory data J Zheng, W Sun, S Huang, S Shen, C Yu, J Zhu, B Liu, HX Liu Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 22 | 2018 |
| Performance diagnosis tool for arterial traffic signals J Zheng, HX Liu, S Misgen, G Yu Transportation research record 2356 (1), 109-116, 2013 | 21 | 2013 |
| Use of event-based traffic data in generating time–space diagrams for evaluation of signal coordination J Zheng, HX Liu, S Misgen, K Schwartz, B Green, M Anderson Transportation Research Record 2439 (1), 94-104, 2014 | 20 | 2014 |
| Origin-destination flow prediction with vehicle trajectory data and semi-supervised recurrent neural network T Huang, Y Ma, ZT Qin, J Zheng, HX Liu, H Zhu, J Ye 2019 IEEE International Conference on Big Data (Big Data), 1450-1459, 2019 | 15 | 2019 |
| Traffic signal control using vehicle trajectory data X Liu, J Zheng US Patent 10,497,259, 2019 | 15 | 2019 |
| Mixed reinforcement learning for efficient policy optimization in stochastic environments Y Mu, B Peng, Z Gu, SE Li, C Liu, B Nie, J Zheng, B Zhang 2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020 | 12 | 2020 |
Henry LiuProfessor of Civil and Environmental Engineering, University of Michigan, Ann Arbor在 umich.edu 的電子郵件地址已通過驗證
