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Spatio-temporal fusion graph convolutional network for traffic flow forecasting
期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:
Ma, Ying
;
Lou, Haijie
;
Yan, Ming
;
Sun, Fanghui
;
Li, Guoqi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/02/22
Graph convolutional network
Spatio-temporal data
Traffic forecasting
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
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Inland waterways
vessel traffic surveillance
deep neural network
anti-occlusion tracking
data fusion
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:
Wang, Jiangong
;
Shen, Tianyu
;
Tian, Yonglin
;
Wang, Yutong
;
Gou, Chao
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/11/28
Object detection
Feature extraction
Data models
Training
Knowledge engineering
Detectors
Computational modeling
Computer vision
Unsupervised Domain Adaptation
Teacher-student learning
Traffic object detection
The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China
期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 11, 页码: 23
作者:
Li, Yawen
;
Yang, Yushan
;
Luo, Guorong
;
Huang, Jizhou
;
Wu, Tian
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/07
traffic restriction
sustainable economic development
human mobility data
Tabular Learning-Based Traffic Event Prediction for Intelligent Social Transportation System
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 12
作者:
Sun, Chen
;
Li, Shen
;
Cao, Dongpu
;
Wang, Fei-Yue
;
Khajepour, Amir
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/07/25
Accidents
Data models
Predictive models
Roads
Analytical models
Vehicles
Sun
Crowd sourcing
social transportation system
tabular learning
traffic prediction
Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model
期刊论文
Expert Systems with Applications, 2022, 卷号: 187
作者:
Song, Zhanguo
;
Feng, Wei
;
Liu, Weiwei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/17
Decision support systems
Forecasting
Intelligent vehicle highway systems
Speed
Street traffic control
System theory
Autoregressive modelling
Autoregressive prediction model
Fuzzy information granulation
Gray autoregressive prediction model
Intelligent transportation systems
Interval prediction
Limited data
Prediction interval
Short-term traffic speed
Traffic speed
Traffic-Aware Task Offloading Based on Convergence of Communication and Sensing in Vehicular Edge Computing
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 24, 页码: 17762-17777
作者:
Qi, Yanli
;
Zhou, Yiqing
;
Liu, Ya-Feng
;
Liu, Ling
;
Pan, Zhengang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/04/02
Task analysis
Sensors
Servers
Wireless sensor networks
Wireless communication
Data communication
Cameras
Convergence of communication and sensing
overall response time (ORT)
traffic-aware task offloading
vehicular network
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 7, 页码: 4337-4347
作者:
Yu, Keping
;
Lin, Long
;
Alazab, Mamoun
;
Tan, Liang
;
Gu, Bo
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/12/01
Mixed traffic
big data
5G
deep learning
LSTM
SoftMax
intention recognition
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 14
作者:
Fang, Shen
;
Prinet, Veronique
;
Chang, Jianlong
;
Werman, Michael
;
Zhang, Chunxia
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/01/27
Feature extraction
Convolution
Predictive models
Data models
Correlation
Roads
Kernel
Graph convolution
deep attention mechanism
traffic network
traffic flow prediction
artificial intelligence
deep learning
A traffic fundamental diagram calibrating methodology to avoid unbalanced speed–density observations
期刊论文
Transport, 2021, 卷号: 36, 期号: 1, 页码: 13-24
作者:
Zhang, Chunbo
;
Huang, Zhaoguo
;
Wang, Yonggang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/04/12
Speed
Data sample
Fundamental diagram
Least square methods
Traffic capacity
Traffic flow
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