A theoretical investigation on moving average filtering solution for fixed-path map matching of noisy position data

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dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidErturkler, Metin/Y-1230-2019
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorErturkler, Metin
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:45:52Z
dc.date.available2024-08-04T20:45:52Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPrecisely estimation of moving object locations from position sensors promises useful implications for many fields of engineering. The mapping of a moving object on a predefined path is an important process for object tracking and remote control applications. Owing to measurement noises of sensors and uncertainties, the measured object location may not precisely match to paths or roads in a map. This study presents a numerical method for a low computational-complexity solution of point to arc type mapping problems. This method has two main tasks: a noise reduction task by short-time moving average filtering of noisy two-dimensional position data, and a map matching task to estimate exact position of an object on a map. To evaluate performance of the investigated method, the algorithm is applied for bus route tracking simulations and results are discussed for several road scenarios and various levels of noise.en_US
dc.identifier.doi10.1504/IJSNET.2019.098554
dc.identifier.endpage225en_US
dc.identifier.issn1748-1279
dc.identifier.issn1748-1287
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85063756045en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage213en_US
dc.identifier.urihttps://doi.org/10.1504/IJSNET.2019.098554
dc.identifier.urihttps://hdl.handle.net/11616/98747
dc.identifier.volume29en_US
dc.identifier.wosWOS:000462882700001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal of Sensor Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectmap matchingen_US
dc.subjectnoisy position dataen_US
dc.subjectshort-time moving average filteringen_US
dc.subjectpoint to arc mappingen_US
dc.subjectobject trackingen_US
dc.titleA theoretical investigation on moving average filtering solution for fixed-path map matching of noisy position dataen_US
dc.typeArticleen_US

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