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Analyzing temporal usage patterns of street segments based on GPS data - a case study in Switzerland

 
: Schreinemacher, Jutta; Körner, Christine; Hecker, Dirk; Bareth, Georg

:
Preprint urn:nbn:de:0011-n-2251019 (1.3 MByte PDF)
MD5 Fingerprint: 6a5d64bc84a82b7a5367e263b6b9f882
Erstellt am: 26.1.2013


Gensel, J. ; Association of Geographic Information Laboratories in Europe -AGILE-:
Multidisciplinary Research on Geographical Information in Europe and Beyond : Proceedings of the AGILE 2012 International Conference on Geographic Information Science, Avignon, April, 24-27, 2012
Avignon, 2012
ISBN: 978-90-816960-0-5
S.203-208
International Conference on Geographic Information Science <15, 2012, Avignon>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
temporal traffic distribution; clustering; street segments; GPS; traffic counts

Abstract
Mobility has become a key component of our social and economic activities. Depending on our activities, the usage of the road network varies, showing, for example, an increased traffic load in early morning when people go to work. Such usage patterns are of interest not only for traffic management but also for private companies offering location-based services. In this paper we analyze the temporal usage of street segments based on a large GPS data set in Switzerland. We first conduct a clustering analysis which detects groups of segments with similar temporal usage patterns. Afterwards we analyze the patterns with respect to their temporal and spatial characteristics. Our analysis shows that GPS data is qualified for an analysis of temporal usage patterns, identifying shopping and leisure activities.

: http://publica.fraunhofer.de/dokumente/N-225101.html