10.1109/TVCG.2017.2744322
https://zenodo.org/records/889198
oai:zenodo.org:889198
Andrienko, Gennady
Gennady
Andrienko
Fraunhofer IAIS, City University London
Andrienko, Natalia
Natalia
Andrienko
Fraunhofer IAIS, City University London
Fuchs, Georg
Georg
Fuchs
Fraunhofer IAIS
Garcia, Jose Manuel Cordero
Jose Manuel Cordero
Garcia
CRIDA
Clustering Trajectories by Relevant Parts for Air Traffic Analysis
Zenodo
2017
Trajectory
Data visualization
Three-dimensional displays
Guidelines
Visualization
Clustering algorithms
Algorithm design and analysis
2017-08-29
http://geoanalytics.net/and/papers/vast17.pdf
https://zenodo.org/communities/eu
Creative Commons Attribution Non Commercial 4.0 International
Clustering of trajectories of moving objects by similarity is an important technique in movement analysis. Existing distance functions assess the similarity between trajectories based on properties of the trajectory points or segments. The properties may include the spatial positions, times, and thematic attributes. There may be a need to focus the analysis on certain parts of trajectories, i.e., points and segments that have particular properties. According to the analysis focus, the analyst may need to cluster trajectories by similarity of their relevant parts only. Throughout the analysis process, the focus may change, and different parts of trajectories may become relevant. We propose an analytical workflow in which interactive filtering tools are used to attach relevance flags to elements of trajectories, clustering is done using a distance function that ignores irrelevant elements, and the resulting clusters are summarized for further analysis. We demonstrate how this workflow can be useful for different analysis tasks in three case studies with real data from the domain of air traffic. We propose a suite of generic techniques and visualization guidelines to support movement data analysis by means of relevance-aware trajectory clustering.
European Commission
10.13039/501100000780
687591
Big Data Analytics for Time Critical Mobility Forecasting
European Commission
10.13039/501100000780
699303
Interactive Toolset for Understanding Trade-offs in ATM Performance