Michael Kyte Outstanding Student of the Year Award - Pacific Northwest Transportation Consortium (01/01/2020-01/31/2020)
Editor's Choice Paper Award - Journal of Transportation Engineering, Part A: Systems (09/01/2018-09/30/2018)
First Prize of the International Transportation Challenge - Norwegian Public Roads Administration (06/01/2018-06/30/2018)
ITE Outstanding Graduate Student Award - Institute of Transportation Engineers Washington State Section (05/01/2018-05/31/2018)
Outstanding Award of Di-tech Transportation Algorithm Competition - Didi Chuxing (03/01/2018-03/31/2018)
Outstanding Reviewer of Transportation Research Part C - Elsevier (12/01/2017-12/31/2017)
First Place of ITE Bill Kloos Traffic Bowl Competition - Institute of Transportation Engineers (11/01/2015-11/30/2015)
Second Place of PacTrans Poster Competition - Pacific Northwest Transportation Consortium (10/01/2014-10/31/2014)
Excellence Scholarship - Tsinghua University (01/01/2011-12/31/2011)
Third Prize - Undergraduate Physics Contest of Beijing (01/01/2011-12/31/2011)
Second Prize - China National High School Math Olympia (01/01/2009-12/31/2009)
Education
MS in Computer Science, University of Illinois Urbana-Champaign (2022)
Ph D in Civil Engineering, University of Washington (2020)
MS in Civil Engineering, University of Washington (2016)
B.Eng. in Automation, Tsinghua University (2014)
Publications
Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning Transportation Research Part C: Emerging Technologies 148 (2023),
Hao F. Yang, Jiarui Cai, Chenxi Liu, Ruimin Ke, Yinhai Wang.
Pierce Transit Automated Collision Avoidance and Mitigation Safety Research and Demonstration Project, Final Report Federal Transit Administration (2022),
Jerome Lutin, Heidi Soule, Dan Sellers, Dave Valadez, John Sellers, Yinhai Wang, Andrew Krum, Mark Golusky, Luke Fischer, Ruimin Ke, Shuyi Yin, Janet Gates, Pierce Transit.
Efficient Procedure of Building University Campus Models for Digital Twin Simulation IEEE Journal of Radio Frequency Identification (2022),
Talha Azfar, Jeffery Weidner, Adeeba A. Raheem, Ruimin Ke, Kelvin Cheu.
Posture Calibration Based Cross-View \& Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification IEEE Transactions on Intelligent Transportation Systems 23 10 (2022),
Chunsheng Liu, Ye Song, Faliang Chang, Shuang Li, Ruimin Ke, Yinhai Wang.
Real-time traffic and road surveillance with parallel edge intelligence IEEE Journal of Radio Frequency Identification 6 (2022),
Ruimin Ke, Chenxi Liu, Hao Yang, Wei Sun, Yinhai Wang.
STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) (2022),
Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian.
Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme IEEE Transactions on Intelligent Transportation Systems 23 12 (2022),
Chenxi Liu, Hao Yang, Ruimin Ke, Yinhai Wang.
Traffic congestion propagation inference using dynamic Bayesian graph convolution network Transportation Research Part C: Emerging Technologies 135 (2022),
Sen Luan, Ruimin Ke, Zhou Huang, Xiaolei Ma.
Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning International Journal of Intelligent Systems (2021),
Hao Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy.
When intelligent transportation systems sensing meets edge computing: vision and challenges Applied Sciences 11 20 (2021),
Xuan Zhou, Ruimin Ke, Hao Yang, Chenxi Liu.
A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices IEEE Transactions on Intelligent Transportation Systems 22 8 (2021),
Ruimin Ke, Yifan Zhuang, Ziyuan Pu, Yinhai Wang.
High-Resolution Vehicle Trajectory Extraction and Denoising from Aerial Videos IEEE Transactions on Intelligent Transportation Systems 22 5 (2021),
Xinqiang Chen, Zhibin Li, Yongsheng Yang, Lei Qi, Ruimin Ke.
The effect of human mobility and control measures on traffic safety during COVID-19 pandemic PLOS ONE 1 3 (2021),
Jie Zhang, Baoheng Feng, Yina Wu, Pengpeng Xu, Ruimin Ke, Ni Dong.
Risk mitigation planning for revenue service testing of bus automated emergency braking Transportation Research Record 2675 5 (2021),
Heidi Soule, Adam Davis, Andrew Krum, Yinhai Wang , Ruimin Ke, Dave Valadez, Dan Sellers, Steve Roberts, Luke Fischer, Jerome Lutin.
Real-time video analytics empowered by machine learning and edge computing for smart transportation applications (2020),
Ruimin Ke.
Sensing data supported traffic flow prediction via denoising schemes and ANN: a comparison IEEE Sensors Journal 20 23 (2020),
Xinqiang Chen, Shubo Wu, Chaojian Shi, Yanguo Huang, Yongsheng Yang, Ruimin Ke, Jiansen Zhao.
Carbon pricing initiatives-based bi-level pollution routing problem European Journal of Operational Research 286 1 (2020),
Rui Qiu, Jiuping Xu, Ruimin Ke, Ziqiang Zeng, Yinhai Wang.
Evaluating the non-linear correlation between vertical curve features and crash frequency on highways using random forests Journal of Transportation Engineering, Part A: Systems 146 10 (2020),
Ziyuan Pu, Zhibin Li, Ruimin Ke, Xuedong Hua, Yinhai Wang.
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving Transportation Research Part C: Emerging Technologies 117 (2020),
Meixin Zhu, Yinhai Wang, Ziyuan Pu, Jingyun Hu, Xuesong Wang, Ruimin Ke.
Edge-based traffic flow data collection method using onboard monocular camera Journal of Transportation Engineering, Part A: Systems 146 9 (2020),
Yifan Zhuang, Ruimin Ke, Yinhai Wang.
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic speed with missing values Transportation Research Part C: Emerging Technologies 118 (2020),
Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang.
Advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video IET Intelligent Transport Systems 14 7 (2020),
Ruimin Ke, Shuo Feng, Zhiyong Cui, Yinhai Wang.
Learning traffic as a graph: a gated graph wavelet recurrent neural network for network-scale traffic prediction Transportation Research Part C: Emerging Technologies 115 (2020),
Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Xiaolei Ma, Yinhai Wang.
Testing an Automated Collision Avoidance and Emergency Braking System for Buses Transportation Research Record 2674 4 (2020),
Heidi Soule, Skip Huck, Andrew Krum, Yinhai Wang, Ruimin Ke, Dave Valadez, Dan Sellers, Jerome Lutin.
Two-stream multi-channel convolutional neural network for multi-lane traffic speed prediction considering volume impact Transportation Research Record 2674 4 (2020),
Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang.
Traffic graph convolutional recurrent neural network: a deep learning framework for network-scale traffic learning and forecasting IEEE Transactions on Intelligent Transportation Systems 21 11 (2019),
Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang.
An advanced framework for traffic parameters estimation from UAV video Transportation Research Board (2019),
Ruimin Ke, Shuo Feng, Zhiyon Cui, Yinhai Wang.
Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow IEEE Transactions on Intelligent Transportation Systems 20 1 (2019),
Ruimin Ke, Zhibin Li, Jinjun Tang, Zewen Pan, Yinhai Wang.
Innovative method for traffic data imputation based on convolutional neural network IET Intelligent Transport Systems 13 4 (2018),
Yifan Zhuang, Ruimin Ke, Yinhai Wang.
New framework for automatic identification and quantification of freeway bottlenecks based on wavelet analysis Journal of Transportation Engineering, Part A: Systems 144 9 (2018),
Ruimin Ke, Ziqiang Zeng, Ziyuan Pu, Yinhai Wang.
A multi-sensor solution for sound transit parking space detection Sound Transit (2018),
Yinhai Wang, Yifan Zhuang, Chenxi Liu, Ruimin Ke.
A new framework for automatic identification and quantification of freeway bottlenecks based on wavelet analysis Transportation Research Board (2018),
Ruimin Ke, Ziqiang Zeng, Ziyuan Pu, Yinhai Wang.
Developing a cost-effective bus-to-pedestrian near-miss detection method using onboard video camera data Pacific Northwest Transportation Consortium (2018),
Yinhai Wang, Ruimin Ke, Weibin Zhang, Ziqiang Zeng.
Multi-lane traffic pattern learning and forecasting using convolutional neural network COTA International Symposium on Emerging Trends in Transportation (2018),
Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang.
Evaluating the influential priority of the factors on insurance loss of public transit PLOS ONE 13 1 (2018),
Wenhui Zhang, Yongmin Su, Ruimin Ke, Xinqiang Chen.
Lane-changes prediction based on adaptive fuzzy neural network Expert Systems with Applications 91 (2018),
Jinjun Tang, Fang Liu, Wenhui Zhang, Ruimin Ke, Yajie Zou.
Presentations
Real-time traffic and road surveillance with parallel edge intelligence (2022),
Ruimin Ke.
Efficient procedure of building university campus models for digital twin simulation (2022),
Talha Azfar, Jeffrey Weidner, Adeeba A. Raheem, Ruimin Ke, Ruey Long K. Cheu.
Real-time traffic and road surveillance with parallel edge intelligence (2022),
Ruimin Ke.
Video-based detection of near-miss events for transit vehicle safety improvements (2019), Volume Shanghai, China,
Yinhai Wang, Ruimin Ke, Zhiyong Cui.
Video-based data collection for intelligent transportation systems (2019), Volume Seattle, WA,
Ruimin Ke.
An advanced framework for traffic parameters estimation from UAV video (2019), Volume Washington DC,
Ruimin Ke, Shuo Feng, Zhiyong Cui, Yinhai Wang.
Multi-lane traffic pattern learning and forecasting using convolutional neural network (2018), Volume Honolulu, HI,
Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang.
A multi-sensor solution for large-scale parking space detection (2018), Volume Pittsburgh, PA,
Ruimin Ke, Yifan Zhuang, Chenxi Liu, Yinhai Wang.
Longitudinal control strategy of platoon with mixed automated and manually driven vehicles for reducing traffic oscillations (2018), Volume Pittsburgh, PA,
Zhibin Li, Ruimin Ke.
A new framework for automatic identification and quantification of freeway bottlenecks based on wavelet analysis (2018), Volume Washington DC,
Ruimin Ke, Ziqiang Zeng, Ziyuan Pu, Yinhai Wang.
Grants
A Data Dashboard for Transportation, Environment and Community Health
Michael Kyte Outstanding Student of the Year Award - Pacific Northwest Transportation Consortium (01/01/2020-01/31/2020)
Editor's Choice Paper Award - Journal of Transportation Engineering, Part A: Systems (09/01/2018-09/30/2018)
First Prize of the International Transportation Challenge - Norwegian Public Roads Administration (06/01/2018-06/30/2018)
ITE Outstanding Graduate Student Award - Institute of Transportation Engineers Washington State Section (05/01/2018-05/31/2018)
Outstanding Award of Di-tech Transportation Algorithm Competition - Didi Chuxing (03/01/2018-03/31/2018)
Outstanding Reviewer of Transportation Research Part C - Elsevier (12/01/2017-12/31/2017)
First Place of ITE Bill Kloos Traffic Bowl Competition - Institute of Transportation Engineers (11/01/2015-11/30/2015)
Second Place of PacTrans Poster Competition - Pacific Northwest Transportation Consortium (10/01/2014-10/31/2014)
Excellence Scholarship - Tsinghua University (01/01/2011-12/31/2011)
Third Prize - Undergraduate Physics Contest of Beijing (01/01/2011-12/31/2011)
Second Prize - China National High School Math Olympia (01/01/2009-12/31/2009)
MS in Computer Science, University of Illinois Urbana-Champaign (2022)
Ph D in Civil Engineering, University of Washington (2020)
MS in Civil Engineering, University of Washington (2016)
B.Eng. in Automation, Tsinghua University (2014)
Publications
Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning Transportation Research Part C: Emerging Technologies 148 (2023),
Hao F. Yang, Jiarui Cai, Chenxi Liu, Ruimin Ke, Yinhai Wang.
Pierce Transit Automated Collision Avoidance and Mitigation Safety Research and Demonstration Project, Final Report Federal Transit Administration (2022),
Jerome Lutin, Heidi Soule, Dan Sellers, Dave Valadez, John Sellers, Yinhai Wang, Andrew Krum, Mark Golusky, Luke Fischer, Ruimin Ke, Shuyi Yin, Janet Gates, Pierce Transit.
Efficient Procedure of Building University Campus Models for Digital Twin Simulation IEEE Journal of Radio Frequency Identification (2022),
Talha Azfar, Jeffery Weidner, Adeeba A. Raheem, Ruimin Ke, Kelvin Cheu.
Posture Calibration Based Cross-View \& Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification IEEE Transactions on Intelligent Transportation Systems 23 10 (2022),
Chunsheng Liu, Ye Song, Faliang Chang, Shuang Li, Ruimin Ke, Yinhai Wang.
Real-time traffic and road surveillance with parallel edge intelligence IEEE Journal of Radio Frequency Identification 6 (2022),
Ruimin Ke, Chenxi Liu, Hao Yang, Wei Sun, Yinhai Wang.
Presentations
Real-time traffic and road surveillance with parallel edge intelligence (2022),
Ruimin Ke.
Efficient procedure of building university campus models for digital twin simulation (2022),
Talha Azfar, Jeffrey Weidner, Adeeba A. Raheem, Ruimin Ke, Ruey Long K. Cheu.
Real-time traffic and road surveillance with parallel edge intelligence (2022),
Ruimin Ke.
