Vehicle-Classification Algorithm Based on Component Analysis for Single-Loop Inductive Detector

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dc.contributor.authorMeta, Soner
dc.contributor.authorCinsdikici, Muhammed G.
dc.date.accessioned2019-10-27T21:16:33Z
dc.date.available2019-10-27T21:16:33Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description.abstractThis paper presents a novel vehicle-classification algorithm that uses the time-variable signal generated by a single inductive loop detector. In earlier studies, the noisy raw signal was fed into the algorithm by reducing its size with rough sampling. However, this approach loses the original signal form and cannot be the best exemplar vector. The developed algorithm suggests three contributions to cope with these problems. The first contribution is to clear the noise with discrete Fourier transform (DFT). The second contribution is to transfer the noiseless pattern into the Principal Component Analysis (PCA) domain. PCA is exploited not only for decorrelation but for explicit dimensionality reduction as well. This goal cannot be achieved by simple raw data sampling. The last contribution is to expand the principal components with a local maximum (L-max) parameter. It strengthens the classification accuracy by emphasizing the undercarriage height variation of the vehicle. These parameters are fed into the three-layered backpropagation neural network (BPNN). BPNN classifies the vehicles into five groups, and the recognition rate is 94.21%. This recognition rate has performed best, compared with the methods presented in published works.en_US
dc.identifier.doi10.1109/TVT.2010.2049756
dc.identifier.endpage2805en_US
dc.identifier.issn0018-9545
dc.identifier.issn0018-9545en_US
dc.identifier.issue6en_US
dc.identifier.startpage2795en_US
dc.identifier.urihttps://doi.org/10.1109/TVT.2010.2049756
dc.identifier.urihttps://hdl.handle.net/11454/43686
dc.identifier.volume59en_US
dc.identifier.wosWOS:000282025900015en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Vehicular Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDiscrete Fourier transform (DFT)en_US
dc.subjectinductive loop (IL)en_US
dc.subjectneural networksen_US
dc.subjectnoise removalen_US
dc.subjectPrincipal Component Analysis (PCA)en_US
dc.subjectvehicle classificationen_US
dc.titleVehicle-Classification Algorithm Based on Component Analysis for Single-Loop Inductive Detectoren_US
dc.typeArticleen_US

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