Ruimin Ke

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Zhiyong Cui, Kristian Henrickson, Ruimin Ke et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 955 citations

Computing, Computer Science, Data Science +17

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Zhiyong Cui, Ruimin Ke, Ziyuan Pu et al. · Transportation Research Part C Emerging Technologies · 2020 · 464 citations

Computing, Data Science, Forecasting +13

Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

Meixin Zhu, Yinhai Wang, Ziyuan Pu et al. · Transportation Research Part C Emerging Technologies · 2020 · 448 citations · Full text

Engineering, Automotive Engineering, Autonomous Systems +16

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Zhiyong Cui, Ruimin Ke · arXiv (Cornell University) · 2018 · 397 citations · Full text

Computing, Computer Science, Forecasting +16

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

Ruimin Ke, Zhibin Li, Jinjun Tang et al. · IEEE Transactions on Intelligent Transportation Systems · 2018 · 286 citations

Computing, Computer Science, Computer Vision +16