中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共21条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：345/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 11
作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：155/0  |  提交时间：2022/01/27
Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system  
Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation 会议论文
, 北京, 2020-12-5
作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua;  Qu, Tianci;  Ye, Peijun
Adobe PDF(616Kb)  |  收藏  |  浏览/下载：193/75  |  提交时间：2022/06/16
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, 20-23 Sept. 2020
作者:  Wei, Zhang;  Fenghua, Zhu;  Yuanyuan, Chen;  Xiao, Wang;  Gang, Xiong;  Fei-Yue, Wang
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：222/53  |  提交时间：2021/05/27
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, September 20-23, 2020
作者:  Wei Zhang;  Fenghua Zhu;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(801Kb)  |  收藏  |  浏览/下载：260/80  |  提交时间：2020/10/20
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
Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：408/221  |  提交时间：2020/10/15
Intelligent transportation systems  
A Parallel Transportation Management and Control System for Bus Rapid Transit Using the ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 9, 页码: 2569-2574
作者:  Dong, Xisong;  Lin, Yuetong;  Shen, Dayong;  Li, Zhengxi;  Zhu, Fenghua;  Hu, Bin;  Fan, Dong;  Xiong, Gang
浏览  |  Adobe PDF(2125Kb)  |  收藏  |  浏览/下载：410/114  |  提交时间：2018/03/03
Bus Rapid Transit (Brt)  Acp Approach Parallel Transportation System  Dynamic Perception  Artificial Transportation System  
Parallel Transportation Management and Control System and Its Applications in Building Smart Cities 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1576-1585
作者:  Zhu, Fenghua;  Li, Zhenjiang;  Chen, Songhang;  Xiong, Gang
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：512/206  |  提交时间：2016/10/20
Intelligent Transportation Systems (Its)  Artificial System  Computational Experiment And Parallel Execution (Acp) Approach  Parallel Transportation Management And Control System (Ptms)  Computational Experiment  Its Cloud  Social Transportation  Transportation Knowledge Automation  
A Kind of Novel ITS Based on Space-Air-Ground Big-Data 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2016, 卷号: 8, 期号: 1, 页码: 10-22
作者:  Xiong, Gang;  Zhu, Fenghua;  Dong, Xisong;  Fan, Haisheng;  Hu, Bin;  Kong, Qing-jie;  Kang, Wenwen;  Teng, Teng
浏览  |  Adobe PDF(2360Kb)  |  收藏  |  浏览/下载：493/119  |  提交时间：2016/03/19
An Erlang-based Simulation Approach of Artificial Transportation Systems 会议论文
IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, 2016.11.01
作者:  Chen, Songhang;  Zhu, Fenghua;  Wang, Feiyue
浏览  |  Adobe PDF(244Kb)  |  收藏  |  浏览/下载：426/171  |  提交时间：2016/10/15
Erlang  Artificial Transportation Systems