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Ruimin Ke
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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
1228*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
10352019
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
4132020
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
3132019
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
2272018
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
2092021
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
1972017
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
1722020
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
1712020
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
1242020
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
1022020
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
922019
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
742021
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
592021
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
582022
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
532017
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
482015
Carbon pricing initiatives-based bi-level pollution routing problem
R Qiu, J Xu, R Ke, Z Zeng, Y Wang
European Journal of Operational Research 286 (1), 203-217, 2020
422020
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
402020
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
402020
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