A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction

•A hierarchical temporal attention based model is proposed to support short-term and long-term human mobility sequence prediction.•The proposed hierarchical temporal attention incorporates individual mobility patterns into the model architecture.•The model is compared with four baseline methods on i...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 403; pp. 153 - 166
Main Authors:	Li, Fa, Gui, Zhipeng, Zhang, Zhaoyu, Peng, Dehua, Tian, Siyu, Yuan, Kunxiaojia, Sun, Yunzeng, Wu, Huayi, Gong, Jianya, Lei, Yichen
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25.08.2020
Subjects:	Human mobility LSTM encoder-decoder model Mobility prediction Sequence prediction Temporal attention Travel regularity Temporal attention Mobility prediction Sequence prediction LSTM encoder-decoder model Human mobility Travel regularity
ISSN:	0925-2312, 1872-8286, 0925-2312
Online Access:	Get full text
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