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收录类别:SCI
出处:IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
语种:英语
资助机构:National Natural Science Foundation of China
文献类型:期刊论文
作者:吕宜生
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Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:
Guo, Yu
;
Liu, Ryan Wen
;
Qu, Jingxiang
;
Lu, Yuxu
;
Zhu, Fenghua
;
Lv, Yisheng
收藏
  |  
浏览/下载:108/0
  |  
提交时间:2023/11/17
Inland waterways
vessel traffic surveillance
deep neural network
anti-occlusion tracking
data fusion
Airport Capacity Prediction With Multisource Features: A Temporal Deep Learning Approach
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 1, 页码: 615-630
作者:
Du, Wenbo
;
Chen, Shenwen
;
Li, Haitao
;
Li, Zhishuai
;
Cao, Xianbin
;
Lv, Yisheng
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2023/11/16
Airport capacity
predictive model
multi-channel fusion structure
machine learning
deep learning
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:
Du, Wenbo
;
Chen, Shenwen
;
Li, Zhishuai
;
Cao, Xianbin
;
Lv, Yisheng
收藏
  |  
浏览/下载:144/0
  |  
提交时间:2023/11/16
Airport traffic flow
predictive models
deep learning
causality graph
spatiotemporal analysis
Parallel Transportation in TransVerse: From Foundation Models to DeCAST
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:
Zhao, Chen
;
Wang, Xiao
;
Lv, Yisheng
;
Tian, Yonglin
;
Lin, Yilun
;
Wang, Fei-Yue
Adobe PDF(4139Kb)
  |  
收藏
  |  
浏览/下载:206/18
  |  
提交时间:2023/11/16
Intelligent Transportation Systems (ITS)
Cyber-Physical-Social Systems (CPSS)
Artificial Systems, Computational Experiments, Parallel Execution (ACP)
Decentralized/Distributed Autonomous Operations and Organizations (DAO)
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:288/0
  |  
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
Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Shen, Zhen
;
Luo, Can
;
Dong, Xisong
;
Lu, Wanze
;
Lv, Yisheng
;
Xiong, Gang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:327/0
  |  
提交时间:2022/03/17
Hybrid electric vehicles
Fuels
Electronic countermeasures
Minimization
Mechanical power transmission
Optimization
Energy management
Adaptive dynamic programming
adaptive-equivalent consumption minimization strategy
hybrid electric vehicle
energy control
Trip Purposes Mining From Mobile Signaling Data
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:
Li, Zhishuai
;
Xiong, Gang
;
Wei, Zebing
;
Zhang, Yu
;
Zheng, Meng
;
Liu, Xiaoli
;
Tarkoma, Sasu
;
Huang, Min
;
Lv, Yisheng
;
Wu, Chuheng
Adobe PDF(3962Kb)
  |  
收藏
  |  
浏览/下载:494/86
  |  
提交时间:2022/01/27
Cellular networks
Trajectory
Semantics
Unsupervised learning
Supervised learning
Resource management
Public transportation
Trip purpose inference
cellular network data
latent Dirichlet allocation
travel behavior
big data
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
浏览
  |  
Adobe PDF(2070Kb)
  |  
收藏
  |  
浏览/下载:401/69
  |  
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
浏览
  |  
Adobe PDF(2273Kb)
  |  
收藏
  |  
浏览/下载:463/115
  |  
提交时间:2019/08/28
Deep learning
social transportation
traffic information detection
social media
text mining