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An interdisciplinary approach to bus information system: bus sensor networking and drivers cognition

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dc.contributor.authorPark, HyungWoo-
dc.contributor.authorHahm, SangWoo-
dc.date.available2018-05-07T11:10:03Z-
dc.date.created2018-04-17-
dc.date.issued2017-01-
dc.identifier.issn1748-1279-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/5519-
dc.description.abstractSeoul Transport Operation and Information Service (TOPIS) collects traffic information from specific systems such as the bus card system, the unmanned traffic control system, traffic broadcasting, and the police. The bus information system (BIS) is a sensor network system that scientifically deals with information about the real-time location and control of buses. Using the BIS, bus companies can manage bus operations and driver status. Bus sensor network also reveals that drivers have differing cognition about the two component parts of the system, the support system and the surveillance system. Although sensor networks are convenient tools for assessing quality of life, they do not always guarantee positive results in the workplace. We suggest ways for the sensor network to move forward in order to satisfy employees and improve performance in companies. This study is valuable as convergence research for the individual cognitive dimensions of sensor networks.-
dc.language영어-
dc.language.isoen-
dc.publisherINDERSCIENCE ENTERPRISES LTD-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF SENSOR NETWORKS-
dc.subjectFIT INDEXES-
dc.subjectMIDDLEWARE-
dc.subjectMODELS-
dc.titleAn interdisciplinary approach to bus information system: bus sensor networking and drivers cognition-
dc.typeArticle-
dc.identifier.doi10.1504/IJSNET.2017.10006852-
dc.type.rimsART-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF SENSOR NETWORKS, v.24, no.3, pp.183 - 190-
dc.description.journalClass1-
dc.identifier.wosid000410399700005-
dc.identifier.scopusid2-s2.0-85027406106-
dc.citation.endPage190-
dc.citation.number3-
dc.citation.startPage183-
dc.citation.titleINTERNATIONAL JOURNAL OF SENSOR NETWORKS-
dc.citation.volume24-
dc.contributor.affiliatedAuthorPark, HyungWoo-
dc.contributor.affiliatedAuthorHahm, SangWoo-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorBIS-
dc.subject.keywordAuthorbus information system-
dc.subject.keywordAuthorpublic transport networks-
dc.subject.keywordAuthorbus operation system-
dc.subject.keywordAuthordriver cognition-
dc.subject.keywordPlusFIT INDEXES-
dc.subject.keywordPlusMIDDLEWARE-
dc.subject.keywordPlusMODELS-
dc.description.journalRegisteredClassscie-
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College of Business Administration > School of Business Administration > 1. Journal Articles
College of Information Technology > ETC > 1. Journal Articles

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