Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in U...
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various types of sensors may fall into different administrative domains and may be accessible through expos...
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Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
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TN_cdi_doaj_primary_oai_doaj_org_article_e6afc5dbc381454d84fc1f633d49b836
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6afc5dbc381454d84fc1f633d49b836
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22093348
