Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Netwo...
Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Region-level traffic information can characterize dynamic changes of urban traffic at the macro level. Real-time region-level traffic prediction help city traffic managers with traffic demand analysis, traffic congestion control, and other activities, and it has become a research hotspot. As more vehicles are equipped with GPS devices, remote sensi...
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Full title
Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data
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TN_cdi_doaj_primary_oai_doaj_org_article_6ec7d5f31005439eaa5e525eaf50d064
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ec7d5f31005439eaa5e525eaf50d064
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14020303
