Global spatio‐temporal dynamic capturing network‐based traffic flow prediction
Global spatio‐temporal dynamic capturing network‐based traffic flow prediction
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Author / Creator
Publisher
Wiley
Journal title
Language
English
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Publisher
Wiley
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Scope and Contents
Contents
Capturing the complex spatio‐temporal relationships of traffic roads is essential to accurately predict traffic flow data. Traditional models typically collect spatial and temporal relationships and increase the complexity of the model by considering connected and unconnected roads. However, global road networks are dynamic and hidden connectivity...
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Full title
Global spatio‐temporal dynamic capturing network‐based traffic flow prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_cde8d8ca0646476b8dd180b2eadf45f2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cde8d8ca0646476b8dd180b2eadf45f2
Other Identifiers
ISSN
1751-956X
E-ISSN
1751-9578
DOI
10.1049/itr2.12371
