| Short-term prediction of lane-level traffic speeds: A fusion deep learning model Y Gu, W Lu, L Qin, M Li, Z Shao Transportation research part C: emerging technologies 106, 1-16, 2019 | 160 | 2019 |
| An improved Bayesian combination model for short-term traffic prediction with deep learning Y Gu, W Lu, X Xu, L Qin, Z Shao, H Zhang IEEE Transactions on Intelligent Transportation Systems 21 (3), 1332-1342, 2020 | 141 | 2020 |
| A model of traffic accident prediction based on convolutional neural network W Lu, D Luo, M Yan 2017 2nd IEEE international conference on intelligent transportation …, 2017 | 72 | 2017 |
| A hybrid model for lane-level traffic flow forecasting based on complete ensemble empirical mode decomposition and extreme gradient boosting W Lu, Y Rui, Z Yi, B Ran, Y Gu IEEE Access 8, 42042-42054, 2020 | 44 | 2020 |
| Lane-level traffic speed forecasting: a novel mixed deep learning model W Lu, Y Rui, B Ran IEEE Transactions on Intelligent Transportation Systems 23 (4), 3601 - 3612, 2022 | 32 | 2022 |
| Intelligent back-looking distance driver model and stability analysis for connected and automated vehicles Z Yi, W Lu, L Xu, X Qu, B Ran Journal of Central South University 27 (11), 3499-3512, 2020 | 21 | 2020 |
| Traffic speed forecasting for urban roads: A deep ensemble neural network model W Lu, Z Yi, R Wu, Y Rui, B Ran Physica A: Statistical Mechanics and its Applications 593, 126988, 2022 | 15 | 2022 |
| A dynamic control method for cavs platoon based on the MPC framework and safety potential field model L Li, J Gan, X Qu, W Lu, P Mao, B Ran KSCE Journal of Civil Engineering 25 (5), 1874-1886, 2021 | 14 | 2021 |
| Efficient deep learning based method for multi‐lane speed forecasting: a case study in Beijing W Lu, Z Yi, W Liu, Y Gu, Y Rui, B Ran IET Intelligent Transport Systems 14 (14), 2073-2082, 2020 | 13 | 2020 |
| A bidirectional car-following model considering distance balance between adjacent vehicles Z Yi, W Lu, X Qu, J Gan, L Li, B Ran Physica A: Statistical Mechanics and its Applications 603, 127606, 2022 | 9 | 2022 |
| A deep learning framework for cycling maneuvers classification Y Gu, Z Shao, L Qin, W Lu, M Li IEEE Access 7, 28799-28809, 2019 | 8 | 2019 |
| Displacement data imputation in urban internet of things system based on tucker decomposition with l2 regularization L Li, X Lin, H Liu, W Lu, B Zhou, J Zhu IEEE Internet of Things Journal 9 (15), 13315-13326, 2022 | 7 | 2022 |
| An attention-based approach for traffic conditions forecasting considering spatial-temporal features L Tao, Y Gu, W Lu, X Rui, T Zhou, Y Ding 2020 IEEE 5th International Conference on Intelligent Transportation …, 2020 | 7 | 2020 |
| TD3LVSL: A lane-level variable speed limit approach based on twin delayed deep deterministic policy gradient in a connected automated vehicle environment W Lu, Z Yi, Y Gu, Y Rui, B Ran Transportation Research Part C: Emerging Technologies 153, 104221, 2023 | 6 | 2023 |
| Short-term forecasting of supply-demand gap under online car-hailing services based on deep learning GU Yuan-li, LI Meng, RUI Xiao-ping, LU Wen-qi, W Shuo Journal of Transportation Systems Engineering and Information Technology 19 …, 2019 | 6 | 2019 |
| Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model W Lu, Z Yi, B Liang, Y Rui, B Ran IEEE Access 11, 28076-28089, 2023 | 5 | 2023 |
| Controlling the connected vehicle with bi-directional information: improved car-following models and stability analysis Z Yi, W Lu, X Qu, L Li, P Mao, B Ran Sensors 21 (24), 8322, 2021 | 5 | 2021 |
| Improving the safe operation of platoon lane changing for connected automated vehicles: A novel field-driven approach R Wu, L Li, W Lu, Y Rui, B Ran Applied Sciences 11 (16), 7287, 2021 | 5 | 2021 |
| Deploying roadside unit efficiently in VANETs: A multi-objective delay-based optimization strategy using Lagrangian relaxation B Liang, W Lu, B Ran IEEE Transactions on Intelligent Transportation Systems, 2023 | 3 | 2023 |
| Target encirclement of moving ride-hailing vehicle under uncertain environment: A multi-vehicle mutual rescue model D Luo, J Wang, W Lu, L Chen, Z Gao, J Dong Computers & Operations Research 146, 105901, 2022 | 3 | 2022 |
Bin RanUniversity of Wisconsin at Madison在 wisc.edu 的电子邮件经过验证
