Better estimation of origin-destination matrix using automated intersection movement count data

Basit Öğe Kaydı
dc.authorid0000-0001-8667-9787en_US
dc.contributor.authorTuydes-Yaman, Hediye
dc.contributor.authorAltintasi, Oruc
dc.contributor.authorŞendil, Nuri
dc.date.accessioned2021-03-20T20:15:07Z
dc.date.available2021-03-20T20:15:07Z
dc.date.issued2015
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIntersection movements carry more disaggregate information about origin-destination (O-D) flows than link counts in a traffic network. In this paper, a mathematical formulation is presented for O-D matrix estimation using intersection counts, which is based on an existing linear programming model employing link counts. The proposed model estimates static O-D flows for uncongested networks assuming no a priori information on the O-D matrix. Both models were tested in two hypothetical networks previously used in O-D matrix studies to monitor their performances assuming various numbers of count location and measurement errors. Two new measures were proposed to evaluate the model characteristics of O-D flow estimation using traffic counts. While both link count based and intersection count based models performed with the same success under complete data collection assumption, intersection count based formulation estimated the O-D flows more successfully under decreasing number of observation locations. Also, the results of the 30 measurement error scenarios revealed that it performs more robustly than the link count based one; thus, it better estimates the O-D flows.en_US
dc.identifier.doi10.1139/cjce-2014-0555en_US
dc.identifier.endpage502en_US
dc.identifier.issn0315-1468
dc.identifier.issn1208-6029
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage490en_US
dc.identifier.urihttp://doi.org/10.1139/cjce-2014-0555
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1152
dc.identifier.volume42en_US
dc.identifier.wosWOS:000357725300006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorŞendil, Nuri
dc.language.isoenen_US
dc.publisherCanadian Science Publishingen_US
dc.relation.ispartofCanadian Journal Of Civil Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectorigin-destination matrix estimationen_US
dc.subjectintersection movement counten_US
dc.subjectlink counten_US
dc.subjectautomated traffic countsen_US
dc.subjectlinear programmingen_US
dc.titleBetter estimation of origin-destination matrix using automated intersection movement count dataen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Endüstri Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu