Finding manoeuvre motifs in vehicle telematics
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/92989 |
Resumo: | Silva, M. I., & Henriques, R. (2020). Finding manoeuvre motifs in vehicle telematics. Accident Analysis and Prevention, 138(April), [105467]. https://doi.org/10.1016/j.aap.2020.105467 |
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Finding manoeuvre motifs in vehicle telematicsAccelerationDetectionDriving performanceExtended Motif DiscoveryRoad safetySensorsHuman Factors and ErgonomicsSafety, Risk, Reliability and QualityPublic Health, Environmental and Occupational HealthSDG 3 - Good Health and Well-beingSilva, M. I., & Henriques, R. (2020). Finding manoeuvre motifs in vehicle telematics. Accident Analysis and Prevention, 138(April), [105467]. https://doi.org/10.1016/j.aap.2020.105467Driving behaviour has a great impact on road safety. A popular way of analysing driving behaviour is to move the focus to the manoeuvres as they give useful information about the driver who is performing them. In this paper, we investigate a new way of identifying manoeuvres from vehicle telematics data, through motif detection in time-series. We implement a modified version of the Extended Motif Discovery (EMD) algorithm, a classical variable-length motif detection algorithm for time-series and we applied it to the UAH-DriveSet, a publicly available naturalistic driving dataset. After a systematic exploration of the extracted motifs, we were able to conclude that the EMD algorithm was not only capable of extracting simple manoeuvres such as accelerations, brakes and curves, but also more complex manoeuvres, such as lane changes and overtaking manoeuvres, which validates motif discovery as a worthwhile line for future research.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNSilva, Maria InesHenriques, Roberto2024-02-03T01:32:10Z2020-04-012020-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7application/pdfhttp://hdl.handle.net/10362/92989eng0001-4575PURE: 16900100https://doi.org/10.1016/j.aap.2020.105467info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:41:30Zoai:run.unl.pt:10362/92989Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:39.183538Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Finding manoeuvre motifs in vehicle telematics |
title |
Finding manoeuvre motifs in vehicle telematics |
spellingShingle |
Finding manoeuvre motifs in vehicle telematics Silva, Maria Ines Acceleration Detection Driving performance Extended Motif Discovery Road safety Sensors Human Factors and Ergonomics Safety, Risk, Reliability and Quality Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
title_short |
Finding manoeuvre motifs in vehicle telematics |
title_full |
Finding manoeuvre motifs in vehicle telematics |
title_fullStr |
Finding manoeuvre motifs in vehicle telematics |
title_full_unstemmed |
Finding manoeuvre motifs in vehicle telematics |
title_sort |
Finding manoeuvre motifs in vehicle telematics |
author |
Silva, Maria Ines |
author_facet |
Silva, Maria Ines Henriques, Roberto |
author_role |
author |
author2 |
Henriques, Roberto |
author2_role |
author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Silva, Maria Ines Henriques, Roberto |
dc.subject.por.fl_str_mv |
Acceleration Detection Driving performance Extended Motif Discovery Road safety Sensors Human Factors and Ergonomics Safety, Risk, Reliability and Quality Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
topic |
Acceleration Detection Driving performance Extended Motif Discovery Road safety Sensors Human Factors and Ergonomics Safety, Risk, Reliability and Quality Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
description |
Silva, M. I., & Henriques, R. (2020). Finding manoeuvre motifs in vehicle telematics. Accident Analysis and Prevention, 138(April), [105467]. https://doi.org/10.1016/j.aap.2020.105467 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-01 2020-04-01T00:00:00Z 2024-02-03T01:32:10Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/92989 |
url |
http://hdl.handle.net/10362/92989 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0001-4575 PURE: 16900100 https://doi.org/10.1016/j.aap.2020.105467 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
7 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137993404973056 |