Matches in SemOpenAlex for { <https://semopenalex.org/work/W647930321> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W647930321 abstract "Providing a driver with information on risky events in advance is crucial for safer and more comfortable driving. This paper presents an approach to automated classification of near-miss situations for providing more useful information to drivers. Specifically, based on probe-car data, the authors introduce a statistical machine learning approach to the classification task. Experimental results show that the method is capable of identifying effective features from the data and is promising in near-miss pattern classification.危険性の高い事象を予め教示するサービスがあれば、安心安全に運転を楽しむことができる。しかしドライバにとって受容性の高い情報にするには、より詳細なヒヤリハット発生形態の分類が必要であった。本研究では、従来法では困難な右折時ヒヤリハットの分類問題に対して統計的機械学習法を適用しその有効性を明らかにした。" @default.
- W647930321 created "2016-06-24" @default.
- W647930321 creator A5004022681 @default.
- W647930321 creator A5022048163 @default.
- W647930321 creator A5064872279 @default.
- W647930321 creator A5089173802 @default.
- W647930321 date "2012-01-01" @default.
- W647930321 modified "2023-09-23" @default.
- W647930321 title "Vehicle Near-miss Situation Prediction from Probe-car Data Using Statistical Machine Learning" @default.
- W647930321 hasPublicationYear "2012" @default.
- W647930321 type Work @default.
- W647930321 sameAs 647930321 @default.
- W647930321 citedByCount "0" @default.
- W647930321 crossrefType "journal-article" @default.
- W647930321 hasAuthorship W647930321A5004022681 @default.
- W647930321 hasAuthorship W647930321A5022048163 @default.
- W647930321 hasAuthorship W647930321A5064872279 @default.
- W647930321 hasAuthorship W647930321A5089173802 @default.
- W647930321 hasConcept C119857082 @default.
- W647930321 hasConcept C124101348 @default.
- W647930321 hasConcept C127413603 @default.
- W647930321 hasConcept C154945302 @default.
- W647930321 hasConcept C201995342 @default.
- W647930321 hasConcept C2776654903 @default.
- W647930321 hasConcept C2780451532 @default.
- W647930321 hasConcept C38652104 @default.
- W647930321 hasConcept C41008148 @default.
- W647930321 hasConceptScore W647930321C119857082 @default.
- W647930321 hasConceptScore W647930321C124101348 @default.
- W647930321 hasConceptScore W647930321C127413603 @default.
- W647930321 hasConceptScore W647930321C154945302 @default.
- W647930321 hasConceptScore W647930321C201995342 @default.
- W647930321 hasConceptScore W647930321C2776654903 @default.
- W647930321 hasConceptScore W647930321C2780451532 @default.
- W647930321 hasConceptScore W647930321C38652104 @default.
- W647930321 hasConceptScore W647930321C41008148 @default.
- W647930321 hasIssue "2" @default.
- W647930321 hasLocation W6479303211 @default.
- W647930321 hasOpenAccess W647930321 @default.
- W647930321 hasPrimaryLocation W6479303211 @default.
- W647930321 hasRelatedWork W2011782963 @default.
- W647930321 hasRelatedWork W2035206970 @default.
- W647930321 hasRelatedWork W2184032434 @default.
- W647930321 hasRelatedWork W2613264524 @default.
- W647930321 hasRelatedWork W2783469255 @default.
- W647930321 hasRelatedWork W2794004372 @default.
- W647930321 hasRelatedWork W2896151464 @default.
- W647930321 hasRelatedWork W2897078774 @default.
- W647930321 hasRelatedWork W2922486367 @default.
- W647930321 hasRelatedWork W2942609132 @default.
- W647930321 hasRelatedWork W2961464171 @default.
- W647930321 hasRelatedWork W2966548892 @default.
- W647930321 hasRelatedWork W2972474357 @default.
- W647930321 hasRelatedWork W2980695382 @default.
- W647930321 hasRelatedWork W3022685303 @default.
- W647930321 hasRelatedWork W3106075906 @default.
- W647930321 hasRelatedWork W3136504339 @default.
- W647930321 hasRelatedWork W3175366351 @default.
- W647930321 hasRelatedWork W3187947024 @default.
- W647930321 hasRelatedWork W3203519426 @default.
- W647930321 hasVolume "43" @default.
- W647930321 isParatext "false" @default.
- W647930321 isRetracted "false" @default.
- W647930321 magId "647930321" @default.
- W647930321 workType "article" @default.