An ensemble-learning method for potential traffic hotspots detection on heterogeneous spatio-tempora...
An ensemble-learning method for potential traffic hotspots detection on heterogeneous spatio-temporal data in highway domain
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Inter-city highway plays an important role in modern urban life and generates sensory data with spatio-temporal characteristics. Its current situation and future trends are valuable for vehicles guidance and transportation security management. As a domain routine analysis, daily detection of traffic hotspots faces challenges in efficiency and preci...
Alternative Titles
Full title
An ensemble-learning method for potential traffic hotspots detection on heterogeneous spatio-temporal data in highway domain
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6cc65cbdaf5141a1965c5f7af4389ae3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6cc65cbdaf5141a1965c5f7af4389ae3
Other Identifiers
ISSN
2192-113X
E-ISSN
2192-113X
DOI
10.1186/s13677-020-00170-1
