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Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dec4ed5cf43445869d80825d93d02370

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction

About this item

Full title

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3836

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Intelligent transportation systems (ITSs) have become an indispensable component of modern global technological development, as they play a massive role in the accurate statistical estimation of vehicles or individuals commuting to a particular transportation facility at a given time. This provides the perfect backdrop for designing and engineering...

Alternative Titles

Full title

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dec4ed5cf43445869d80825d93d02370

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dec4ed5cf43445869d80825d93d02370

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23083836

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