Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/85214
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dc.creatorJoão Pedro de Jesus Vieira Pereira
dc.date.accessioned2019-02-07T12:40:14Z-
dc.date.available2019-02-07T12:40:14Z-
dc.date.issued2016-07-22
dc.date.submitted2016-07-28
dc.identifier.othersigarra:140082
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/85214-
dc.descriptionLearning knowledge from users GPS traces can provide rich context information to be applied in several areas. However, without processing, extraction of meaning can be impractical or a time consuming activity. The data used was collected using SenseMyFEUP application and represents real data, as a research involving real data the first step is to clear the data of errors like outliers in position, speed and time. The main focus of this research isn't the data filtering but the treatment of crowdsourced data, for that an approach is proposed to reduce the GPS trace to meaningful aggregated data and automatically infer the transportation mode used in a trip. The approach consists of four parts: a change-point based segmentation method, a clustering algorithm, an inference model to deduce the transportation mode and a trip chaining algorithm to merge trips identified at first as one but that are more meaningful together.
dc.language.isoeng
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleExtracting Mobility-Relevant Information from Crowdsourced GPS Data
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.tid201308223
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado Integrado em Engenharia Electrotécnica e de Computadores
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FEUP - Dissertação

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