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华南理工大学 [15]

清华大学 [14]

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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：1/0 \| 提交时间：2024/02/22 Graph convolutional network Spatio-temporal data Traffic forecasting
	ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Luo, Guiyang; Zhang, Hui; Yuan, Quan; Li, Jinglin; Wang, Fei-Yue 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/01/09 Index Terms- Traffic forecasting graph convolutional network spatial-temporal networks over-smoothing
	A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks 期刊论文 INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10 作者: Zhang, Hong; Kan, Sunan; Cao, Jie; Chen, Linlong; Zhao, Tianxin 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/09/22 Traffic flow forecasting deep learning multi-head spatio-temporal attention mechanism graph convolutional network spatio-temporal correlation
	ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Luo, Guiyang; Zhang, Hui; Yuan, Quan; Li, Jinglin; Wang, Fei-Yue 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/07/25 Roads Correlation Feature extraction Sensors Deep learning Convolution Sensor phenomena and characterization Traffic forecasting graph convolutional network spatial-temporal networks
	TVGCN: Time-variant graph convolutional network for traffic forecasting 期刊论文 NEUROCOMPUTING, 2022, 卷号: 471, 页码: 118-129 作者: Wang, Yuhu; Fang, Shen; Zhang, Chunxia; Xiang, Shiming; Pan, Chunhong 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/06/06 Spatial-temporal correlation Graph convolutional network Traffic forecasting
	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：8/0 \| 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
	A combined traffic flow forecasting model based on graph convolutional network and attention mechanism 期刊论文 INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12 作者: Zhang, Hong; Chen, Linlong; Cao, Jie; Zhang, Xijun; Kan, Sunan 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/03/01 Traffic flow forecasting deep learning attention mechanism graph convolutional network spatiotemporal characteristics
	A hybrid approach for short-term traffic flow forecasting based on similarity identification 期刊论文 MODERN PHYSICS LETTERS B, 2021, 卷号: 35, 期号: 13 作者: Li, Wenjun; Chen, Si; Wang, Xiaoquan; Yin, Chaoying; Huang, Zhaoguo 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/06/03 Traffic flow short-term traffic forecasting similarity identification time constrain window entropy-based gray relation analysis rank-exponent method
	Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction 期刊论文 IEEE ACCESS, 2020, 卷号: 8 作者: Feng, Dong; Wu, Zhongcheng; Zhang, Jun; Wu, Ziheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/12/28 Correlation Convolution Feature extraction Predictive models Forecasting Market research Data models Traffic speed prediction spatial-temporal network graph convolutional network dynamic graph learning
	Research on prediction of urban congestion based on radial basis function network 期刊论文 Advances in Transportation Studies, 2020, 卷号: 1, 期号: Special Issue, 页码: 145-156 作者: Guo, Y.R.; Wang, X.M.; Wang, M.; Zhang, H. 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/11/14 Analytic hierarchy process Complex networks Forecasting Function evaluation Functions Motor transportation Radial basis function networks Analytic hierarchy process (ahp) Complex parameter Evaluation indicators Intelligent traffics Prediction accuracy Urban traffic congestion Weight determination Weighted averages

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