Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction

Accurate traffic prediction is crucial to the construction of intelligent transportation systems. This task remains challenging because of the complicated and dynamic spatiotemporal dependency in traffic networks. While various graph-based spatiotemporal networks have been proposed for traffic predi...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Weimin Mai, Junxin Chen, Xiang Chen
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Subjects:	traffic prediction spatiotemporal network graph convolutional network time-evolving graphs graph generation
Online Access:	https://www.mdpi.com/2076-3417/12/6/2842