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CASIA OpenIR
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AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：369/123  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
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
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：272/57  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network 会议论文
, Spain, 2015
作者:  Gang XIONG;  Wenwen Kang;  Fei-Yue Wang;  Fenghua Zhu;  Yisheng Lv;  Xisong Dong;  Jukka Riekki;  Susanna Pirttikangas
浏览  |  Adobe PDF(383Kb)  |  收藏  |  浏览/下载：314/82  |  提交时间：2017/12/31
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：569/278  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data  
Traffic Flow Prediction With Big Data: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 865-873
作者:  Lv, Yisheng;  Duan, Yanjie;  Kang, Wenwen;  Li, Zhengxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：3769/2341  |  提交时间：2015/09/21
Deep Learning  Stacked Autoencoders (Saes)  Traffic Flow Prediction