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dc.contributor.authorChang-Gyun Roh
dc.contributor.authorI-Jeong Im
dc.date.accessioned2020-07-16T18:42:22Z
dc.date.available2020-07-16T18:42:22Z
dc.date.created2020-07-14 23:34
dc.date.issued2020-07-01
dc.identifieroai:doaj.org/article:490ef0fc545a4e0abe2c415cec53f6e9
dc.identifier10.3390/su12145509
dc.identifier2071-1050
dc.identifierhttps://doaj.org/article/490ef0fc545a4e0abe2c415cec53f6e9
dc.identifier.urihttp://hdl.handle.net/20.500.12424/3954829
dc.description.abstractAn automated vehicle performs self-driving by utilizing information gathered through sensors attached to the vehicle. Sensor accuracy is thus mentioned as the major technology for enhancing driving safety. However, since urban centers are replete with sections and situations that handicap driving such as sensor recognition limitations and failures, it is necessary to conduct a study that prepares for driving handicaps. As such, this study aims to derive the sections and situations where driving safety is depreciated and review those problems via an analytic hierarchy process (AHP) analysis on driving handicap factors. The analysis result showed that the importance of these handicap situations is high, and it was confirmed that it is necessary to first review off-road sections, environmental factors (heavy rain or snow), merge sections, and sections with poor lane conditions. The result of this research has significance in reviewing road sections and potential situations that require primary verification for securing the driving safety of automated vehicles. It is expected to be utilized in the relevant studies as a basic study.
dc.languageEN
dc.publisherMDPI AG
dc.relation.ispartofhttps://www.mdpi.com/2071-1050/12/14/5509
dc.relation.ispartofhttps://doaj.org/toc/2071-1050
dc.sourceSustainability, Vol 12, Iss 5509, p 5509 (2020)
dc.subjectautomated vehicles
dc.subjectdriving safety
dc.subjectdriving handicap
dc.subjectAHP
dc.subjectfactor analysis
dc.subjectEnvironmental effects of industries and plants
dc.subjectTD194-195
dc.subjectRenewable energy sources
dc.subjectTJ807-830
dc.subjectEnvironmental sciences
dc.titleA Review on Handicap Sections and Situations to Improve Driving Safety of Automated Vehicles
dc.typeArticle
ge.collectioncode2071-1050
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:16784326
ge.lastmodificationdate2020-07-14 23:34
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid150302
ge.oai.repositoryid52
ge.oai.setnameLCC:Environmental effects of industries and plants
ge.oai.setnameLCC:Renewable energy sources
ge.oai.setnameLCC:Environmental sciences
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ge.setnameGlobeEthicsLib
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ge.linkhttps://doaj.org/article/490ef0fc545a4e0abe2c415cec53f6e9


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