CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共11条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载:255/65  |  提交时间:2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 1, 页码: 7-10
作者:  Cao, Dongpu;  Wang, Xiao;  Li, Lingxi;  Lv, Chen;  Na, Xiaoxiang;  Xing, Yang;  Li, Xuan;  Li, Ying;  Chen, Yuanyuan;  Wang, Fei-Yue
收藏  |  浏览/下载:212/0  |  提交时间:2022/06/10
Social Media based Transportation Research: the State of the Work and the Networking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 1, 页码: 19-26
作者:  Yisheng Lv;  Yuanyuan Chen;  Xiqiao Zhang;  Yanjie Duan;  Naiqiang Li
Adobe PDF(13247Kb)  |  收藏  |  浏览/下载:166/23  |  提交时间:2022/04/08
transportation research , social media data , traffic information sources , social network analysis methods , collaboration patterns  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载:235/0  |  提交时间:2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
基于注意力机制和分时图卷积的公交客流预测 期刊论文
模式识别与人工智能, 2021, 卷号: 34, 期号: 2, 页码: 167-175
作者:  张伟;  朱风华;  吕宜生;  陈圆圆
Adobe PDF(955Kb)  |  收藏  |  浏览/下载:266/50  |  提交时间:2021/05/27
智能交通  公交客流预测  递归神经网络  通道注意力模块  分时图卷积  
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:271/57  |  提交时间:2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载:444/227  |  提交时间:2020/10/15
Intelligent transportation systems  
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载:369/64  |  提交时间:2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载:362/65  |  提交时间:2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
Adobe PDF(2273Kb)  |  收藏  |  浏览/下载:423/106  |  提交时间:2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining