Ruimin Ke

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Yinhai WangProfessor of Civil and Environmental Engineering, University of WashingtonVerificeret mail på uw.edu
Zhiyong CuiProfessor, School of Transportation Science and Engineering, Beihang UniversityVerificeret mail på buaa.edu.cn
Ziyuan PuProfessor, Southeast University; Adjunct Senior Research Fellow, Monash UniversityVerificeret mail på monash.edu
Zhibin LiProfessor in School of Transportation, Southeast UniversityVerificeret mail på seu.edu.cn
Hao (Frank) YangAssistant Professor, Johns Hopkins University, CaSEVerificeret mail på jhu.edu
Yifan ZhuangSoftware Engineer, GoogleVerificeret mail på google.com
Meixin ZhuAssistant Professor, The Hong Kong University of Science and Technology (Guangzhou)Verificeret mail på ust.hk
Xinqiang ChenShanghai Maritime UniversityVerificeret mail på stu.shmtu.edu.cn
Kristian HenricksonUber Technologies, Inc.Verificeret mail på uber.com
Talha AzfarRPIVerificeret mail på rpi.edu
Chenxi (Dylan) LiuUniversity of UtahVerificeret mail på utah.edu
jinjun tangHarbin Institute of TechnologyVerificeret mail på uw.edu
Ziqiang ZengAssociate Professor of Management Science and System Science, Sichuan UniversityVerificeret mail på scu.edu.cn
John E. AshAssistant Professor (Civil Engineering), University of CincinnatiVerificeret mail på ucmail.uc.edu
Sung KimMeta, Reality Labs ResearchVerificeret mail på meta.com
Ruey (Kelvin) CheuDept. of Civil Engineering, The University of Texas at El PasoVerificeret mail på utep.edu
Xiaolei MaProfessor, Beihang UniversityVerificeret mail på buaa.edu.cn
Jeffrey WeidnerUniversity of Texas at El PasoVerificeret mail på utep.edu
Yajie ZouTongji UniversityVerificeret mail på tongji.edu.cn
Shuo FengAssociate Professor, Tsinghua UniversityVerificeret mail på tsinghua.edu.cn

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Ruimin Ke

Assistant Professor at Rensselaer Polytechnic Institute

Verificeret mail på rpi.edu - Startside

Intelligent Transportation Systems Edge Computing AI for Transportation Digital Twin


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1034	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	412	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	313	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	227	2018
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	209	2021
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	197	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	172	2020
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	171	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	124	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	102	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	92	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	74	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	58	2022
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	58	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	53	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	48	2015
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	42	2020
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	40	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	40	2020

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