| Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values Z Cui, R Ke, Z Pu, Y Wang Transportation Research Part C: Emerging Technologies 118, 102674, 2020 | 1062* | 2020 |
| Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting Z Cui, K Henrickson, R Ke, Y Wang IEEE Transactions on Intelligent Transportation Systems 21 (11), 4883-4894, 2019 | 884 | 2019 |
| Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke Transportation Research Part C: Emerging Technologies 117, 102662, 2020 | 311 | 2020 |
| Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow R Ke, Z Li, J Tang, Z Pan, Y Wang IEEE Transactions on Intelligent Transportation Systems 20 (1), 54-64, 2019 | 276 | 2019 |
| Lane-changes prediction based on adaptive fuzzy neural network J Tang, F Liu, W Zhang, R Ke, Y Zou Expert systems with applications 91, 452-463, 2018 | 203 | 2018 |
| Real-time bidirectional traffic flow parameter estimation from aerial videos R Ke, Z Li, S Kim, J Ash, Z Cui, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (4), 890-901, 2017 | 180 | 2017 |
| A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices R Ke, Y Zhuang, Z Pu, Y Wang IEEE Transactions on Intelligent Transportation Systems 22 (8), 4962-4974, 2021 | 172 | 2021 |
| Sensing data supported traffic flow prediction via denoising schemes and ANN: A comparison X Chen, S Wu, C Shi, Y Huang, Y Yang, R Ke, J Zhao IEEE Sensors Journal 20 (23), 14317-14328, 2020 | 156 | 2020 |
| High-resolution vehicle trajectory extraction and denoising from aerial videos X Chen, Z Li, Y Yang, L Qi, R Ke IEEE Transactions on Intelligent Transportation Systems 22 (5), 3190-3202, 2020 | 144 | 2020 |
| Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction Z Cui, R Ke, Z Pu, X Ma, Y Wang Transportation Research Part C: Emerging Technologies 115, 102620, 2020 | 100 | 2020 |
| Two-stream multi-channel convolutional neural network for multi-lane traffic speed prediction considering traffic volume impact R Ke, W Li, Z Cui, Y Wang Transportation Research Record 2674 (4), 459-470, 2020 | 87 | 2020 |
| Innovative method for traffic data imputation based on convolutional neural network Y Zhuang, R Ke, Y Wang IET Intelligent Transport Systems 13 (4), 605-613, 2019 | 84 | 2019 |
| The effect of human mobility and control measures on traffic safety during COVID-19 pandemic J Zhang, B Feng, Y Wu, P Xu, R Ke, N Dong PLoS one 16 (3), e0243263, 2021 | 62 | 2021 |
| A generalized nonlinear model-based mixed multinomial logit approach for crash data analysis Z Zeng, W Zhu, R Ke, J Ash, Y Wang, J Xu, X Xu Accident Analysis & Prevention 99, 51-65, 2017 | 47 | 2017 |
| Motion-vector clustering for traffic speed detection from UAV video R Ke, S Kim, Z Li, Y Wang 2015 IEEE First International Smart Cities Conference (ISC2), 1-5, 2015 | 44 | 2015 |
| When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges X Zhou, R Ke, H Yang, C Liu Applied Sciences 11 (20), 9680, 2021 | 42 | 2021 |
| Traffic congestion propagation inference using dynamic Bayesian graph convolution network S Luan, R Ke, Z Huang, X Ma Transportation research part C: emerging technologies 135, 103526, 2022 | 37 | 2022 |
| A cost-effective framework for automated vehicle-pedestrian near-miss detection through onboard monocular vision R Ke, J Lutin, J Spears, Y Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 36 | 2017 |
| Evaluating the nonlinear correlation between vertical curve features and crash frequency on highways using random forests Z Pu, Z Li, R Ke, X Hua, Y Wang Journal of Transportation Engineering, Part A: Systems 146 (10), 04020115, 2020 | 35 | 2020 |
| 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, 2020 | 35 | 2020 |
Yinhai WangProfessor of Civil and Environmental Engineering, University of Washington在 uw.edu 的电子邮件经过验证
