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dc.contributor.authorBartın, Bekir Oğuz
dc.contributor.authorDemiroluk, S.
dc.contributor.authorOzbay, K.
dc.contributor.authorJami, Mojibulrahman
dc.date.accessioned2023-03-27T10:27:03Z
dc.date.available2023-03-27T10:27:03Z
dc.date.issued2022
dc.identifier.issn0361-1981en_US
dc.identifier.urihttp://hdl.handle.net/10679/8091
dc.identifier.urihttps://journals.sagepub.com/doi/full/10.1177/03611981211036364
dc.description.abstractThis paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyses roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.en_US
dc.description.sponsorshipNJDOT (FHWA-NJ-2017-001) ; C2SMART, a Tier 1 UTC at New York University
dc.language.isoengen_US
dc.publisherSageen_US
dc.relation.ispartofTransportation Research Record
dc.rightsrestrictedAccess
dc.titleAutomatic identification of roadway horizontal alignment information using geographic information system data: CurvS toolen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-6941-228X & YÖK ID 22247) Bartın, Bekir
dc.contributor.ozuauthorBartın, Bekir Oğuz
dc.identifier.volume2676en_US
dc.identifier.issue1en_US
dc.identifier.startpage532en_US
dc.identifier.endpage543en_US
dc.identifier.wosWOS:000691851700001
dc.identifier.doi10.1177/03611981211036364en_US
dc.identifier.scopusSCOPUS:2-s2.0-85123786247
dc.contributor.ozugradstudentJami, Mojibulrahman
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff and PhD Student


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