A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In the spatial dimension, due to the connectivity...

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Bibliographic Details

Published in:	ISPRS International Journal of Geo-Information
Main Authors:	Jiandong Bai, Jiawei Zhu, Yujiao Song, Ling Zhao, Zhixiang Hou, Ronghua Du, Haifeng Li
Format:	Article
Language:	English
Published:	MDPI AG 2021-07-01
Subjects:	traffic forecasting attention temporal graph convolutional network spatial dependence temporal dependence
Online Access:	https://www.mdpi.com/2220-9964/10/7/485