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dc.contributor.authorNamazi, Elnaz
dc.contributor.authorMester, Rudolf
dc.contributor.authorLu, Chaoru
dc.contributor.authorLog, Markus Metallinos
dc.contributor.authorLi, Jingyue
dc.date.accessioned2022-03-30T07:32:30Z
dc.date.available2022-03-30T07:32:30Z
dc.date.created2022-01-17T11:15:59Z
dc.date.issued2021-01-01
dc.identifier.isbn978-3-030-94191-8
dc.identifier.issn978-3-030-94190-1
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.urihttps://hdl.handle.net/11250/2988483
dc.description.abstractA primary concern of Intelligent Traffic Management Systems (ITMSs) is to collect the required traffic data. Vehicle position is one of the most important data types to manage traffic effectively. In this regard, Global Positioning System (GPS) receivers are widely used; however, their estimation accuracy is affected by several parameters, such as signal blockage. Map-matching is one of the most popular approaches to dealing with this challenge. In this study, we investigated the performance of map-matching software and found that it cannot locate the vehicle effectively if the positional data are too noisy. This paper aims to propose a new methodology by integrating cross-GPS validation, interpolation, best-fit, and map-matching techniques to enhance the vehicle localization performance in the presence of GPS signal noise and investigate the methodology with real traffic data from a metropolitan area. Our evaluations indicate that the proposed methodology can significantly improve vehicle self-localization performance.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofInnovations in Smart Cities Applications
dc.relation.ispartofseriesLecture Notes in Networks and Systems;393
dc.subjectVehicle self-localizationen_US
dc.subjectGPS receiversen_US
dc.subjectMap-matchingen_US
dc.titleImproving Vehicle Localization with Two Low-Cost GPS Receiversen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedfalse
cristin.fulltextpreprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-030-94191-8_14
dc.identifier.cristin1982380
dc.source.journalLecture Notes in Networks and Systemsen_US
dc.source.volume393en_US
dc.source.issue393en_US
dc.source.pagenumber10en_US


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