| 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 | 1410* | 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 | 1184 | 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 | 528 | 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 | 348 | 2019 |
| 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 | 277 | 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 | 267 | 2020 |
| 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 | 244 | 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 | 228 | 2017 |
| 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 | 226 | 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 | 149 | 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 | 119 | 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 | 104 | 2019 |
| 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 | 91 | 2022 |
| When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges R Ke, X Zhou, H Yang, C Liu Applied Sciences 11 (20), 9680, 2021 | 84 | 2021 |
| 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 | 84 | 2021 |
| Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning HF Yang, J Cai, C Liu, R Ke, Y Wang Transportation research part C: emerging technologies 148, 103982, 2023 | 61 | 2023 |
| 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 | 59 | 2017 |
| ChatSUMO: Large language model for automating traffic scenario generation in simulation of urban mobility S Li, T Azfar, R Ke IEEE Transactions on Intelligent Vehicles, 2024 | 55 | 2024 |
| 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 | 54 | 2020 |
| Deep learning-based computer vision methods for complex traffic environments perception: A review T Azfar, J Li, H Yu, RL Cheu, Y Lv, R Ke Data Science for Transportation 6 (1), 1, 2024 | 53 | 2024 |
Yinhai WangProfessor of Civil and Environmental Engineering, University of WashingtonVerified email at uw.edu
