Multi-stage approach to travel-mode segmentation and classification of gps traces

Show simple item record

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


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics