| A better understanding of long-range temporal dependence of traffic flow time series S Feng, X Wang, H Sun, Y Zhang, L Li Physica A: Statistical Mechanics and its Applications 492, 639-650, 2018 | 36 | 2018 |
| A bi-level cooperative driving strategy allowing lane changes H Xu, Y Zhang, CG Cassandras, L Li, S Feng Transportation Research Part C: Emerging Technologies 120, 102773, 2020 | 82 | 2020 |
| A comparison study for traffic flow data compression S Feng, Y Zhang, L Li 2016 12th World Congress on Intelligent Control and Automation (WCICA), 977-982, 2016 | 6 | 2016 |
| A Cooperative Driving Strategy for Merging at On-Ramps Based on Dynamic Programming H Pei, S Feng, Y Zhang, D Yao IEEE Transactions on Vehicular Technology 68 (12), 11646-11656, 2019 | 82 | 2019 |
| A cooperative intersection control for automated vehicles S Feng, J Ding, S Liu, Y Zhang, J Hu Proceedings of the IEEE 20th International Conference on Intelligent …, 2017 | 3 | 2017 |
| A grouping-based cooperative driving strategy for CAVs merging problems H Xu, S Feng, Y Zhang, L Li IEEE Transactions on Vehicular Technology 68 (6), 6125-6136, 2019 | 123 | 2019 |
| A simulation system and speed guidance algorithms for intersection traffic control using connected vehicle technology S Liu, W Zhang, X Wu, S Feng, X Pei, D Yao Tsinghua Science and Technology 24 (2), 160-170, 2018 | 33 | 2018 |
| Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems R Bai, J Yang, W Gong, Y Zhang, Q Lu, S Feng arXiv preprint arXiv:2403.13869, 2024 | 1 | 2024 |
| Adaptive safety evaluation for connected and automated vehicles with sparse control variates J Yang, H Sun, H He, Y Zhang, HX Liu, S Feng IEEE Transactions on Intelligent Transportation Systems, 2023 | 7 | 2023 |
| Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning J Yang, R Bai, H Ji, Y Zhang, J Hu, S Feng arXiv preprint arXiv:2402.19275, 2024 | | 2024 |
| Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios J Yang, H He, Y Zhang, S Feng, HX Liu 2022 IEEE Intelligent Transportation Systems Conference, 2022 | 2 | 2022 |
| Advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video R Ke, S Feng, Z Cui, Y Wang IET Intelligent Transport Systems 14 (7), 724-734, 2020 | 35 | 2020 |
| An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles X Gong, S Feng, Y Pan IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
| An Advanced Framework for Traffic Parameters Estimation from UAV Video R Ke, S Feng, Z Cui, Y Wang Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| Campus bus network design and evaluation based on the route property J Ding, S Feng, L Li, Y Zhang Tsinghua Science and Technology 22 (5), 539-550, 2017 | 6 | 2017 |
| Corner case generation and analysis for safety assessment of autonomous vehicles H Sun, S Feng, X Yan, HX Liu Transportation research record 2675 (11), 587-600, 2021 | 39 | 2021 |
| Curse of rarity for autonomous vehicles HX Liu, S Feng Nature Communications 15 (1), 4808, 2024 | 4 | 2024 |
| Dangerous driving behavior recognition and prevention using an autoregressive time-series model H Chen, S Feng, X Pei, Z Zhang, D Yao Tsinghua science and technology 22 (6), 682-690, 2017 | 23 | 2017 |
| Dense reinforcement learning for safety validation of autonomous vehicles S Feng, H Sun, X Yan, H Zhu, Z Zou, S Shen, HX Liu Nature 615 (7953), 620-627, 2023 | 207 | 2023 |
| Distributed cooperative driving in multi-intersection road networks H Pei, Y Zhang, Q Tao, S Feng, L Li IEEE Transactions on Vehicular Technology 70 (6), 5390-5403, 2021 | 44 | 2021 |
Henry LiuProfessor of Civil and Environmental Engineering, University of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
