Search Results - "Ke, Ruimin"

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting by Cui, Zhiyong, Henrickson, Kristian, Ke, Ruimin, Wang, Yinhai

“…Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due to the time-varying traffic patterns and the complicated…”
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Lane-changes prediction based on adaptive fuzzy neural network by Tang, Jinjun, Liu, Fang, Zhang, Wenhui, Ke, Ruimin, Zou, Yajie

“…•An Adaptive Fuzzy Neural Network is proposed to predict steering angles.•Takagi–Sugeno fuzzy inference is applied in prediction model.•An improved Least…”
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Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos by Ruimin Ke, Zhibin Li, Sung Kim, Ash, John, Zhiyong Cui, Yinhai Wang

“…Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low cost, high flexibility, and wide view range. Traffic flow…”
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The effect of human mobility and control measures on traffic safety during COVID-19 pandemic by Zhang, Jie, Feng, Baoheng, Wu, Yina, Xu, Pengpeng, Ke, Ruimin, Dong, Ni

“…As mobile device location data become increasingly available, new analyses are revealing the significant changes of mobility pattern when an unplanned event…”
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When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges by Zhou, Xuan, Ke, Ruimin, Yang, Hao, Liu, Chenxi

“…The widespread use of mobile devices and sensors has motivated data-driven applications that can leverage the power of big data to benefit many aspects of our…”
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Evaluating the influential priority of the factors on insurance loss of public transit by Zhang, Wenhui, Su, Yongmin, Ke, Ruimin, Chen, Xinqiang

“…Understanding correlation between influential factors and insurance losses is beneficial for insurers to accurately price and modify the bonus-malus system…”
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High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos by Chen, Xinqiang, Li, Zhibin, Yang, Yongsheng, Qi, Lei, Ke, Ruimin

“…In recent years, unmanned aerial vehicle (UAV) has become an increasingly popular tool for traffic monitoring and data collection on highways due to its…”
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Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow by Ke, Ruimin, Li, Zhibin, Tang, Jinjun, Pan, Zewen, Wang, Yinhai

“…Recently, the availability of unmanned aerial vehicle (UAV) opens up new opportunities for smart transportation applications, such as automatic traffic data…”
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A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices by Ke, Ruimin, Zhuang, Yifan, Pu, Ziyuan, Wang, Yinhai

“…Cloud computing has been a main-stream computing service for years. Recently, with the rapid development in urbanization, massive video surveillance data are…”
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Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values by Cui, Zhiyong, Ke, Ruimin, Pu, Ziyuan, Wang, Yinhai

“…•A stacked bidirectional and unidirectional LSTM architecture for traffic forecasting.•An LSTM structure with an imputation unit to infer missing values is…”
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Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison by Chen, Xinqiang, Wu, Shubo, Shi, Chaojian, Huang, Yanguo, Yang, Yongsheng, Ke, Ruimin, Zhao, Jiansen

“…Short-term traffic flow prediction plays a key role of Intelligent Transportation System (ITS), which supports traffic planning, traffic management and…”
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Traffic congestion propagation inference using dynamic Bayesian graph convolution network by Luan, Sen, Ke, Ruimin, Huang, Zhou, Ma, Xiaolei

“…•Bayesian inference and deep learning is integrated for traffic congestion modeling;•A dynamic Bayesian graph convolutional network (DBGCN) is proposed.•The…”
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Models for predicting vehicle emissions: A comprehensive review by Zhong, Hui, Chen, Kehua, Liu, Chenxi, Zhu, Meixin, Ke, Ruimin

“…Air pollution is a primary concern, causing around 7 million premature deaths annually, with traffic-related sources contributing 23 %–45 % of emissions. While…”
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Carbon pricing initiatives-based bi-level pollution routing problem by Qiu, Rui, Xu, Jiuping, Ke, Ruimin, Zeng, Ziqiang, Wang, Yinhai

“…•A carbon pricing initiatives-based bi-level pollution routing problem is studied.•A model considering an authority and a freight company is developed.•An…”
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Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving by Zhu, Meixin, Wang, Yinhai, Pu, Ziyuan, Hu, Jingyun, Wang, Xuesong, Ke, Ruimin

“…•Reinforcement learning for safe, efficient, comfortable vehicle velocity control.•A reward function is developed by combining driving features.•Collision…”
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A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision by Ruimin Ke, Lutin, Jerome, Spears, Jerry, Yinhai Wang

“…Onboard monocular cameras have been widely deployed in both public transit and personal vehicles. Obtaining vehicle-pedestrian near-miss event data from…”
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Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction by Cui, Zhiyong, Ke, Ruimin, Pu, Ziyuan, Ma, Xiaolei, Wang, Yinhai

“…•A graph wavelet gated recurrent neural network (GWGR) is proposed.•GWGR incorporating graph wavelet units as gates learns traffic networks as graphs.•GWGR…”
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Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme by Liu, Chenxi, Yang, Hao, Ke, Ruimin, Wang, Yinhai

“…Traffic congestion is a long-lasting worldwide problem and even becoming more severe in well-developed regions. Reversible lanes have been used worldwide on…”
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Motion-vector clustering for traffic speed detection from UAV video by Ruimin Ke, Sung Kim, Zhibin Li, Yinhai Wang

“…A novel method for detecting the average speed of traffic from non-stationary aerial video is presented. The method first extracts interest points from a pair…”
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Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact by Ke, Ruimin, Li, Wan, Cui, Zhiyong, Wang, Yinhai

“…Traffic speed prediction is a critically important component of intelligent transportation systems. Recently, with the rapid development of deep learning and…”
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