A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-shar...
A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system
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Author / Creator
Ai, Yi , Li, Zongping , Gan, Mi , Zhang, Yunpeng , Yu, Daben , Chen, Wei and Ju, Yanni
Publisher
Heidelberg: Springer Nature B.V
Journal title
Language
English
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Publisher
Heidelberg: Springer Nature B.V
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Scope and Contents
Contents
Dockless bike-sharing is becoming popular all over the world, and short-term spatiotemporal distribution forecasting on system state has been further enlarged due to its dynamic spatiotemporal characteristics. We employ a deep learning approach, named the convolutional long short-term memory network (conv-LSTM), to address the spatial dependences a...
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Full title
A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system
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Record Identifier
TN_cdi_proquest_journals_2229931784
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2229931784
Other Identifiers
ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-018-3470-9
