| Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran Transportation Research Part C: Emerging Technologies 133, 103421, 2021 | 78 | 2021 |
| A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure H Shi, Y Zhou, X Wang, S Fu, S Gong, B Ran Computer‐Aided Civil and Infrastructure Engineering 37 (15), 2033-2051, 2022 | 38 | 2022 |
| An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network K Shi, Y Wu, H Shi, Y Zhou, B Ran Physica A: Statistical Mechanics and its Applications 599, 127303, 2022 | 36 | 2022 |
| A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon H Shi, D Chen, N Zheng, X Wang, Y Zhou, B Ran Transportation Research Part C: Emerging Technologies 148, 104019, 2023 | 25 | 2023 |
| A distributed deep reinforcement learning–based integrated dynamic bus control system in a connected environment H Shi, Q Nie, S Fu, X Wang, Y Zhou, B Ran Computer‐Aided Civil and Infrastructure Engineering 37 (15), 2016-2032, 2022 | 24 | 2022 |
| Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles H Shi, Y Zhou, K Wu, S Chen, B Ran, Q Nie Knowledge-Based Systems 269, 110485, 2023 | 14 | 2023 |
| Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach C Liu, Z Sheng, S Chen, H Shi, B Ran Physica A: Statistical Mechanics and its Applications 629, 129189, 2023 | 6 | 2023 |
| Function allocation for automated driving systems B Ran, T Chen, S Dong, Y Cheng, M Zhang, X Li, S Li, K Shi, H Shi, Y Yao, ... US Patent App. 17/328,625, 2021 | 5 | 2021 |
| Generative adversarial network for car following trajectory generation and anomaly detection H Shi, S Dong, Y Wu, Q Nie, Y Zhou, B Ran Journal of Intelligent Transportation Systems, 1-14, 2024 | 3 | 2024 |
| Collaborative automated driving system B Ran, T Chen, X Li, Y Cheng, S Li, S Dong, Y Yao, K Shi, H Shi, K Wu, ... US Patent App. 17/667,683, 2022 | 3 | 2022 |
| Intelligent roadside toolbox S Li, B Ran, Y Cheng, T Chen, X Li, S Dong, K Shi, H Shi, Y Yao, R Yi, ... US Patent App. 17/192,529, 2021 | 3 | 2021 |
| Predictive Analysis of Vehicular Lane Changes: An Integrated LSTM Approach H Liu, K Wu, S Fu, H Shi*, H Xu Applied Sciences 13 (18), 10157, 2023 | 2 | 2023 |
| Distributed driving systems and methods for automated vehicles B Ran, S Li, Y Cheng, T Chen, S Dong, K Shi, H Shi, X Li US Patent 11,741,834, 2023 | 2 | 2023 |
| Systematic Intelligent System T Chen, B Ran, S Dong, K Wu, Y Cheng, L Li, S Li, X Li, Y Mo, Y Yao, ... US Patent App. 17/537,593, 2022 | 2 | 2022 |
| Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks K Wu, Y Zhou, H Shi*, X Li, B Ran IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 2023 |
| Autonomous Vehicle and Cloud Control System B Ran, Y Cheng, T Chen, Y Yao, K Wu, H Shi, S Li, K Shi, Z Zhang, F Ding, ... US Patent App. 17/840,237, 2022 | 1 | 2022 |
| Vehicle Intelligent Unit B Ran, K Zhao, H Li, M Zhang, S Li, Y Cheng, Z Chen, J Ye, S Dong, ... US Patent App. 17/718,443, 2022 | 1 | 2022 |
| How to Collect Tribal Crash Data Properly? Experience from a New Wisconsin Crash Reporting System T Chen, H Shi*, G Vorhes, ST Parker, DA Noyce International Conference on Transportation and Development 2022, 48-60, 2022 | 1 | 2022 |
| Function allocation for automated driving systems B Ran, P Mao, W Lu, Z Yi, L Li, Y Cheng, L Xu, Y Zheng, T Chen, H Shi, ... US Patent App. 17/499,283, 2022 | 1 | 2022 |
| Device allocation system B Ran, S Dong, Y Cheng, T Chen, S Li, X Li, K Shi, H Shi, K Wu, Y Yao, ... US Patent App. 17/192,441, 2021 | 1 | 2021 |
Bin RanUniversity of Wisconsin at MadisonVerified email at wisc.edu
