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Exploring lane change safety issues for manually driven vehicles in vehicle platooning environments

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dc.contributor.authorLee, Seolyoung-
dc.contributor.authorOh, Cheol-
dc.contributor.authorHong, Sungmin-
dc.date.accessioned2021-06-22T11:22:13Z-
dc.date.available2021-06-22T11:22:13Z-
dc.date.created2021-01-21-
dc.date.issued2018-11-
dc.identifier.issn1751-956X-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/5180-
dc.description.abstractVehicle platooning, a beneficial feature of automated driving environments, is likely to affect the lane change behaviour of manually driven vehicles (MVs) because identifying proper gaps in vehicle platoons in the target lane will be more difficult than in the current non-platooning environment. These interactions between MVs and automated vehicles (AVs) could lead to a higher potential for unstable traffic flow, which is closely associated with traffic safety issues. The objective of this study was to investigate the lane change characteristics of MVs in AV platooning environments using driving simulator experiments. This research found that MV drivers tend to show more radical driving behaviour, as indicated by greater steering magnitude and steering velocity when they change lanes into the platooning vehicles' lane. Therefore, novel traffic operations strategies to manage MVs and AVs effectively are required to ensure traffic safety, which will be conducted by a future study.-
dc.language영어-
dc.language.isoen-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleExploring lane change safety issues for manually driven vehicles in vehicle platooning environments-
dc.typeArticle-
dc.contributor.affiliatedAuthorOh, Cheol-
dc.identifier.doi10.1049/iet-its.2018.5167-
dc.identifier.scopusid2-s2.0-85054972347-
dc.identifier.wosid000447013700020-
dc.identifier.bibliographicCitationIET INTELLIGENT TRANSPORT SYSTEMS, v.12, no.9, pp.1142 - 1147-
dc.relation.isPartOfIET INTELLIGENT TRANSPORT SYSTEMS-
dc.citation.titleIET INTELLIGENT TRANSPORT SYSTEMS-
dc.citation.volume12-
dc.citation.number9-
dc.citation.startPage1142-
dc.citation.endPage1147-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordPlusTRAFFIC-FLOW CHARACTERISTICS-
dc.subject.keywordPlusADAPTIVE CRUISE CONTROL-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusWORKLOAD-
dc.subject.keywordAuthorroad safety-
dc.subject.keywordAuthorroad traffic-
dc.subject.keywordAuthortraffic engineering computing-
dc.subject.keywordAuthorroad vehicles-
dc.subject.keywordAuthormobile robots-
dc.subject.keywordAuthordigital simulation-
dc.subject.keywordAuthorlane change safety issues-
dc.subject.keywordAuthormanually driven vehicles-
dc.subject.keywordAuthorvehicle platooning environments-
dc.subject.keywordAuthorautomated driving environments-
dc.subject.keywordAuthorlane change behaviour-
dc.subject.keywordAuthorproper gap identification-
dc.subject.keywordAuthorautomated vehicles-
dc.subject.keywordAuthorAV-
dc.subject.keywordAuthorMV-
dc.subject.keywordAuthorunstable traffic flow-
dc.subject.keywordAuthortraffic safety issues-
dc.subject.keywordAuthorlane change characteristics-
dc.subject.keywordAuthordriving simulator experiments-
dc.subject.keywordAuthordriving behaviour-
dc.subject.keywordAuthorsteering magnitude-
dc.subject.keywordAuthorsteering velocity-
dc.subject.keywordAuthornovel traffic operations strategies-
dc.identifier.urlhttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-its.2018.5167-
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ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
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