STHSGCN: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction

STHSGCN: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction

Nowadays, as a crucial component of intelligent transportation systems, traffic flow prediction has received extensive concern. However, most of the existing studies extracted spatial-temporal features with modules that do not differentiate with time and space, and failed to consider spatial-tempora...

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Bibliographic Details
Main Authors:	Xian Yu, Yin-Xin Bao, Quan Shi
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Series:	Heliyon
Subjects:	Traffic flow prediction Graph convolution Heterogeneity Causality
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844023071359

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