| Evaluating smart charging strategies using real-world data from optimized plugin electric vehicles SI Spencer, Z Fu, E Apostolaki-Iosifidou, TE Lipman Transportation Research Part D: Transport and Environment 100, 103023, 2021 | 86 | 2021 |
| Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100-cav flow smoothing experiment J Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, Z Fu, ... IEEE Control Systems Magazine, 2024 | 76* | 2024 |
| Hierarchical speed planner for automated vehicles: A framework for Lagrangian variable speed limit in mixed-autonomy traffic H Wang, Z Fu, J Lee, A Alanqary, HNZ Matin, D Urieli, S Hornstein, ... IEEE Control Systems Magazine, 2024 | 17* | 2024 |
| Cooperative driving for speed harmonization in mixed-traffic environments Z Fu, AR Kreidieh, H Wang, JW Lee, ML Delle Monache, AM Bayen 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 17 | 2023 |
| Economic and environmental benefits for electricity grids from spatiotemporal optimization of electric vehicle charging S Woo, Z Fu, E Apostolaki-Iosifidou, TE Lipman Energies 14 (24), 8204, 2021 | 10 | 2021 |
| Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap Y Dong, C Liu, Y Wang, Z Fu 2024 IEEE 27th International Conference on Intelligent Transportation …, 2024 | 6 | 2024 |
| Kernel-based planning and imitation learning control for flow smoothing in mixed autonomy traffic Z Fu, A Alanqary, AR Kreidieh, AM Bayen Transportation Research Part C: Emerging Technologies 168, 104764, 2024 | 4 | 2024 |
| Learning energy-efficient driving behaviors by imitating experts AR Kreidieh, Z Fu, AM Bayen 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| Massive CAV Experiment in Nashville Pits Machine Learning against Traffic Jams Z Fu, K Manke, A Bayen ORMS Today 50, 16-19, 2023 | 3 | 2023 |
| Pareto control barrier function for inner safe set maximization under input constraints X Cao, Z Fu, AM Bayen 2025 American Control Conference (ACC), 2465-2470, 2025 | 1 | 2025 |
| Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments J Carpio, S Almatrudi, N Khoudari, Z Fu, K Butts, J Lee, B Seibold, ... arXiv preprint arXiv:2503.21057, 2025 | 1 | 2025 |
| Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs Z Baba, AM Bayen, A Canesse, MLD Monache, M Drieux, Z Fu, N Lichtlé, ... arXiv preprint arXiv:2601.06388, 2026 | | 2026 |
| Position and speed estimation using deep learning-based KKL observer in mixed autonomy traffic systems Y Marani, Z Fu, I N’doye, E Feron, TML Kirati, A Bayen 2025 IEEE 64th Conference on Decision and Control (CDC), 1181-1187, 2025 | | 2025 |
| (U) NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs N Lichtlé, A Canesse, Z Fu, HNZ Matin, MLD Monache, AM Bayen arXiv preprint arXiv:2505.23702, 2025 | | 2025 |
| A Tutorial on Neural Network-Based Solvers for Hyperbolic Conservation Laws: Supervised vs. Unsupervised Learning, and Applications to Traffic Modeling A Canesse, Z Fu, N Lichtlé, HNZ Matin, Z Liu, ML Delle Monache, ... | | 2025 |
| UC Berkeley Develops New User-Friendly Tool to Expedite the Evaluation of Connected Automated Vehicle Technologies Z Fu, H Liu, XY Lu | | 2020 |
Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
