dc.identifier.uri | http://dx.doi.org/10.15488/1143 | |
dc.identifier.uri | http://www.repo.uni-hannover.de/handle/123456789/1167 | |
dc.contributor.author | Zhang, Lijuan | |
dc.contributor.author | Dalyot, Sagi | |
dc.contributor.author | Eggert, Daniel | |
dc.contributor.author | Sester, Monika | |
dc.date.accessioned | 2017-02-07T10:35:16Z | |
dc.date.available | 2017-02-07T10:35:16Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Zhang, Lijuan; Dalyot, Sagi; Eggert, Daniel; Sester, Monika: Multi-stage approach to travel-mode segmentation and classification of gps traces. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Geospatial Data Infrastructure: From Data Acquisition And Updating To Smarter Services] 38-4 (2011), Nr. W25, S. 87-93. DOI: https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-87-2011 | |
dc.description.abstract | This paper presents a multi-stage approach toward the robust classification of travel-modes from GPS traces. Due to the fact that GPS traces are often composed of more than one travel-mode, they are segmented to find sub-traces characterized as an individual travel-mode. This is conducted by finding individual movement segments by identifying stops. In the first stage of classification three main travel-mode classes are identified: pedestrian, bicycle, and motorized vehicles; this is achieved based on the identified segments using speed, acceleration and heading related parameters. Then, segments are linked up to form sub-traces of individual travel-mode. After the first stage is achieved, a breakdown classification of the motorized vehicles class is implemented based on sub-traces of individual travel-mode of cars, buses, trams and trains using Support Vector Machines (SVMs) method. This paper presents a qualitative classification of travel-modes, thus introducing new robust and precise capabilities for the problem at hand. | eng |
dc.language.iso | eng | |
dc.publisher | Göttingen : Copernicus GmbH | |
dc.relation.ispartofseries | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Geospatial Data Infrastructure: From Data Acquisition And Updating To Smarter Services] 38-4 (2011), Nr. W25 | |
dc.rights | CC BY 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
dc.subject | Acquisition | eng |
dc.subject | Data mining | eng |
dc.subject | Pattern | eng |
dc.subject | Recognition | eng |
dc.subject | Classification | eng |
dc.subject | GPS/INS | eng |
dc.subject | Segmentation | eng |
dc.subject | Mapping | eng |
dc.subject | system | eng |
dc.subject.classification | Konferenzschrift | ger |
dc.subject.ddc | 550 | Geowissenschaften | ger |
dc.title | Multi-stage approach to travel-mode segmentation and classification of gps traces | |
dc.type | Article | |
dc.type | Text | |
dc.relation.issn | 2194-9034 | |
dc.relation.doi | https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-87-2011 | |
dc.bibliographicCitation.issue | W25 | |
dc.bibliographicCitation.volume | 38-4 | |
dc.bibliographicCitation.firstPage | 87 | |
dc.bibliographicCitation.lastPage | 93 | |
dc.description.version | publishedVersion | |
tib.accessRights | frei zug�nglich |
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