Origin-destination trip table estimation based on subarea network OD flow and vehicle trajectory data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyunmyung | - |
dc.contributor.author | Nam, Daisik | - |
dc.contributor.author | Suh, Wonho | - |
dc.contributor.author | Cheon, Seung Hoon | - |
dc.date.accessioned | 2021-06-22T13:03:40Z | - |
dc.date.available | 2021-06-22T13:03:40Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.issn | 0308-1060 | - |
dc.identifier.issn | 1029-0354 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/7989 | - |
dc.description.abstract | Identifying accurate origin-destination (O-D) travel demand is one of the most important and challenging tasks in the transportation planning field. Recently, a wide range of traffic data has been made available. This paper proposes an O-D estimation model using multiple field data. This study takes advantage of emerging technologies- car navigation systems, highway toll collecting systems and link traffic counts- to determine O-D demand. The proposed method is unique since these multiple data are combined to improve the accuracy of O-D estimation for an entire network. We tested our model on a sample network and found great potential for using multiple data as a means of O-D estimation. The errors of a single input data source do not critically affect the model's overall accuracy, meaning that combining multiple data provides resilience to these errors. It is suggested that the model is a feasible means for more reliable O-D estimation. | - |
dc.format.extent | 21 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Origin-destination trip table estimation based on subarea network OD flow and vehicle trajectory data | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1080/03081060.2018.1435437 | - |
dc.identifier.scopusid | 2-s2.0-85041580373 | - |
dc.identifier.wosid | 000426957500003 | - |
dc.identifier.bibliographicCitation | TRANSPORTATION PLANNING AND TECHNOLOGY, v.41, no.3, pp 265 - 285 | - |
dc.citation.title | TRANSPORTATION PLANNING AND TECHNOLOGY | - |
dc.citation.volume | 41 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 265 | - |
dc.citation.endPage | 285 | - |
dc.type.docType | Article | - |
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 | ELECTRONIC TOLL COLLECTION | - |
dc.subject.keywordPlus | TRAFFIC COUNT INCONSISTENCIES | - |
dc.subject.keywordPlus | MATRIX ESTIMATION PROBLEM | - |
dc.subject.keywordPlus | REAL-TIME ESTIMATION | - |
dc.subject.keywordPlus | PROGRAMMING APPROACH | - |
dc.subject.keywordPlus | RECURSIVE ESTIMATION | - |
dc.subject.keywordPlus | LINK FLOWS | - |
dc.subject.keywordPlus | VOLUMES | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | Travel demand | - |
dc.subject.keywordAuthor | O-D trip table estimation | - |
dc.subject.keywordAuthor | vehicle trajectory | - |
dc.subject.keywordAuthor | subarea O-D | - |
dc.subject.keywordAuthor | multiple field data | - |
dc.subject.keywordAuthor | model | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/03081060.2018.1435437 | - |
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