ED-ACNN: Novel attention convolutional neural network based on encoder–decoder framework for human traffic prediction

Accurate human traffic prediction, as a vital component of an intelligent transportation system (ITS), can not only reduce traffic congestion and resource consumption, but also provide a foundation for other tasks, such as risk assessment and public safety. Owing to the rapid development of computin...

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Bibliographic Details

Published in:	Applied soft computing Vol. 97; p. 106688
Main Authors:	Pu, Bin, Liu, Yuan, Zhu, Ningbo, Li, Kenli, Li, Keqin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2020
Subjects:	Attention mechanism Encoder–decoder framework Spatio-temporal data mining Traffic-flow prediction Attention mechanism Encoder–decoder framework Spatio-temporal data mining Traffic-flow prediction
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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