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CASIA OpenIR
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ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：154/0  |  提交时间：2023/01/09
Index Terms- Traffic forecasting  graph convolutional network  spatial-temporal networks  over-smoothing  
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：147/0  |  提交时间：2022/11/14
Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：254/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Jin, Junchen;  Rong, Dingding;  Zhang, Tong;  Ji, Qingyuan;  Guo, Haifeng;  Lv, Yisheng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：242/0  |  提交时间：2022/06/06
Roads  Predictive models  Data models  Recurrent neural networks  Generators  Computer architecture  Deep learning  Short-term link speed prediction  signalized urban networks  Wasserstein generative adversarial network  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：287/54  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：263/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
Adobe PDF(623Kb)  |  收藏  |  浏览/下载：355/152  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：429/167  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Scanning the Issue and Beyond: The Endless ITS Frontier in CSP Spaces 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 4, 页码: 1610-1618
作者:  Wang, Fei-Yue
Adobe PDF(105Kb)  |  收藏  |  浏览/下载：233/49  |  提交时间：2015/09/23
Csp Spaces  Its  
Scanning the Issue and Beyond: Real-Time Social Transportation with Online Social Signals 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 3, 页码: 909-914
作者:  Wang, Fei-Yue
Adobe PDF(77Kb)  |  收藏  |  浏览/下载：341/119  |  提交时间：2015/08/12
Real-time Social Transportation  Online Social Signals