Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks ; volume:12 ; number:1 ; day:14 ; month:12 ; year:2022 ; pages:1-11 ; date:12.2022
Scientific reports ; 12, Heft 1 (14.12.2022), 1-11, 12.2022

Creator: Ning, Tao
Han, Yumeng
Wang, Jiayu

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-18027-9

URN: urn:nbn:de:101:1-2023022321094026090900

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Ning, Tao
Han, Yumeng
Wang, Jiayu
SpringerLink (Online service)

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Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks

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Other Objects (12)

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