MSSTGCN: Multi-Head Self-Attention and Spatial-Temporal Graph Convolutional Network for Multi-Scale Traffic Flow Prediction

Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this pro... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-12-11
DOI
https://doi.org/10.32604/cmc.2024.057494
Citations
3
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.80

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article

MSSTGCN: Multi-Head Self-Attention and Spatial-Temporal Graph Convolutional Network for Multi-Scale Traffic Flow Prediction

Xinlu Zong, Fan Yu, Zhen Chen, Xue Xia
3 citations
Computers, materials & continua/Computers, materials & continua (Print)
Traffic Prediction and Management Techniques
0.80
article

MSSTGCN: Multi-Head Self-Attention and Spatial-Temporal Graph Convolutional Network for Multi-Scale Traffic Flow Prediction

Xinlu Zong, Fan Yu, Zhen Chen, Xue Xia
article en
3 citations

Abstract

Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this pro... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(2)
Wuhan University of Technology (CN), Hubei University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 27%
Traffic Prediction and Management Techniques
0.80
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MSSTGCN: Multi-Head Self-Attention and Spatial-Temporal Graph Convolutional Network for Multi-Scale Traffic Flow Prediction — Xinlu Zong, Fan Yu, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS