Spatial–Temporal Similarity Fusion Graph Adversarial Convolutional Networks for traffic flow forecasting

Traffic flow forecasting is integral to the advancement of intelligent transportation systems and the development of smart cities. This paper introduces a novel model, the Spatial–Temporal Similarity Fusion Graphs Adversarial Convolutional Networks (STSF-GACN), which leverages advanced data preproce...

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Bibliographic Details

Published in:	Journal of the Franklin Institute Vol. 361; no. 17; p. 107299
Main Authors:	Wang, Bin, Long, Zhendan, Sheng, Jinfang, Zhong, Qiang
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2024
Subjects:	Graph Convolutional Neural Network Similarity measure Traffic flow forecasting Similarity measure Traffic flow forecasting Graph Convolutional Neural Network
ISSN:	0016-0032
Online Access:	Get full text
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