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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Finding Stops in Error-Prone Trajectories of Moving Objects with Time-Based Clustering
verfasst von : Max Zimmermann, Thomas Kirste, Myra Spiliopoulou
Erschienen in: Intelligent Interactive Assistance and Mobile Multimedia Computing
Verlag: Springer Berlin Heidelberg
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An important problem in the study of moving objects is the identification of
stops
. This problem becomes more difficult due to error-prone recording devices. We propose a method that discovers
stops
in a trajectory that contains artifacts, namely movements that did not actually take place but correspond to recording errors. Our method is an interactive density-based clustering algorithm, for which we define density on the basis of both the spatial and the temporal properties of a trajectory. The interactive setting allows the user to tune the algorithm and to study the stability of the anticipated
stops
.