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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:87/0
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提交时间:2023/11/16
Airport traffic flow
predictive models
deep learning
causality graph
spatiotemporal analysis
Multi-sensor Fusion and Cooperative Perception for Autonomous Driving A Review
期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 23
作者:
Xiang, Chao
;
Feng, Chen
;
Xie, Xiaopo
;
Shi, Botian
;
Lu, Hao
;
Lv, Yisheng
;
Yang, Mingchuan
;
Niu, Zhendong
收藏
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浏览/下载:74/0
  |  
提交时间:2023/11/17
Point cloud compression
Laser radar
Classification algorithms
Sensors
Taxonomy
Sensor fusion
Three-dimensional displays
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:39/0
  |  
提交时间:2023/11/16
Airport capacity
predictive model
multi-channel fusion structure
machine learning
deep learning
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Zhao, Chen
;
Dai, Xingyuan
;
Lv, Yisheng
;
Niu, Jinglong
;
Lin, Yilun
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  |  
浏览/下载:163/0
  |  
提交时间:2023/02/22
Transportation
Behavioral sciences
Organizations
Cyberspace
Social factors
Roads
Vehicle dynamics
Artificial systems
computational experiments
parallel execution (ACP)
blockchain
cyber-physical-social systems (CPSS)
decentralized
distributed autonomous operations and organizations (DAOs)
intelligent transportation systems (ITS)
A Spatiotemporal Hybrid Model for Airspace Complexity Prediction
期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 页码: 8
作者:
Du, Wenbo
;
Li, Biyue
;
Chen, Jun
;
Lv, Yisheng
;
Li, Yumeng
收藏
  |  
浏览/下载:166/0
  |  
提交时间:2022/11/14
Complexity theory
Atmospheric modeling
Spatiotemporal phenomena
Predictive models
Deep learning
Correlation
Air traffic control
A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:
Li, Zhishuai
;
Xiong, Gang
;
Wei, Zebing
;
Lv, Yisheng
;
Anwar, Noreen
;
Wang, Fei-Yue
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  |  
浏览/下载:194/0
  |  
提交时间:2022/07/25
GPS trajectory
human mobility
semi-supervised learning
transportation mode detection (TMD)
A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 11
作者:
Ren, Lei
;
Fan, Xiaoyang
;
Cui, Jin
;
Shen, Zhen
;
Lv, Yisheng
;
Xiong, Gang
收藏
  |  
浏览/下载:163/0
  |  
提交时间:2022/06/06
Reinforcement learning
Costs
Task analysis
Transportation
Optimization
Computational modeling
Vehicle routing
Vehicle routing
supply chain management
multi-agent reinforcement learning (MARL)
route recorder
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:236/0
  |  
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
Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 16
作者:
Li, Li
;
Zhao, Can
;
Wang, Xiao
;
Li, Zhiheng
;
Chen, Long
;
Lv, Yisheng
;
Zheng, Nan-Ning
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:174/0
  |  
提交时间:2022/01/27
Vehicles
Safety
Accidents
Sensors
Prototypes
Autonomous vehicles
Automation
Autonomous vehicles
driving safety
social interaction
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Chizhan Zhang
;
Fenghua Zhu
;
Yisheng Lv
;
Peijun Ye
;
Feiyue Wang
Adobe PDF(4431Kb)
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收藏
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浏览/下载:222/50
  |  
提交时间:2021/06/16
Taxi demand prediction
taxi zone clustering
heterogeneity analysis
deep learning