Categorizing bicycling environments using GPS-based public bicycle speed data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Joo, Shinhye | - |
dc.contributor.author | Oh, Cheol | - |
dc.contributor.author | Jeong, Eunbi | - |
dc.contributor.author | Lee, Gunwoo | - |
dc.date.accessioned | 2021-06-22T19:41:53Z | - |
dc.date.available | 2021-06-22T19:41:53Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2015-07 | - |
dc.identifier.issn | 0968-090X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/17845 | - |
dc.description.abstract | A promising alternative transportation mode to address growing transportation and environmental issues is bicycle transportation, which is human-powered and emission-free. To increase the use of bicycles, it is fundamental to provide bicycle-friendly environments. The scientific assessment of a bicyclist's perception of roadway environment, safety and comfort is of great interest. This study developed a methodology for categorizing bicycling environments defined by the bicyclist's perceived level of safety and comfort. Second-by-second bicycle speed data were collected using global positioning systems (GPS) on public bicycles. A set of features representing the level of bicycling environments was extracted from the GPS-based bicycle speed and acceleration data. These data were used as inputs for the proposed categorization algorithm. A support vector machine (SVM), which is a well-known heuristic classifier, was adopted in this study. A promising rate of 81.6% for correct classification demonstrated the technical feasibility of the proposed algorithm. In addition, a framework for bicycle traffic monitoring based on data and outcomes derived from this study was discussed, which is a novel feature for traffic surveillance and monitoring. (C) 2015 Elsevier Ltd. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Categorizing bicycling environments using GPS-based public bicycle speed data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Cheol | - |
dc.contributor.affiliatedAuthor | Lee, Gunwoo | - |
dc.identifier.doi | 10.1016/j.trc.2015.04.012 | - |
dc.identifier.scopusid | 2-s2.0-84928121483 | - |
dc.identifier.wosid | 000356733400016 | - |
dc.identifier.bibliographicCitation | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.56, pp.239 - 250 | - |
dc.relation.isPartOf | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | - |
dc.citation.title | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | - |
dc.citation.volume | 56 | - |
dc.citation.startPage | 239 | - |
dc.citation.endPage | 250 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | Global positioning system | - |
dc.subject.keywordPlus | Monitoring | - |
dc.subject.keywordPlus | Motor transportation | - |
dc.subject.keywordPlus | Sporting goods | - |
dc.subject.keywordPlus | Support vector machines | - |
dc.subject.keywordPlus | acceleration | - |
dc.subject.keywordPlus | artificial intelligence | - |
dc.subject.keywordPlus | cycle transport | - |
dc.subject.keywordPlus | GPS | - |
dc.subject.keywordPlus | heuristics | - |
dc.subject.keywordPlus | monitoring system | - |
dc.subject.keywordPlus | public space | - |
dc.subject.keywordPlus | safety | - |
dc.subject.keywordPlus | transportation technology | - |
dc.subject.keywordAuthor | Public bicycle | - |
dc.subject.keywordAuthor | Bicycling environments | - |
dc.subject.keywordAuthor | Support vector machine | - |
dc.subject.keywordAuthor | Bicycle speed data | - |
dc.subject.keywordAuthor | Bicycle traffic monitoring | - |
dc.identifier.url | https://www.scopus.com/record/display.uri?eid=2-s2.0-84928121483&origin=inward&txGid=f275ea70e6adae38c637c3f663364096 | - |
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