Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research

Spretke, David; Stein, Manuel; Sharalieva, Lyubka; Warta, Alexander; Licht, Valentin; Schreck, Tobias; Keim, Daniel A.

Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research

Dateien

Spretke_2-7c7uw1kblppv7.pdfGröße: 8.07 MBDownloads: 259

Datum

2015

Autor:innen

Licht, Valentin

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

19th International Conference on Information Visualisation (iV) 2015. IEEE, 2015, pp. 322-329. ISSN 1550-6037. ISBN 978-1-4673-7568-9. Available under: doi: 10.1109/iV.2015.63

Zusammenfassung

Testing is an important and wide spread practice in the development of automotive components. For the design of test methods two types of input data are often considered: (1) load data gathered from real life vehicle fleets, and (2) information of the driving routes based on road features. The development of new technologies is though complicated not only by the need to join those two data sources, but also by the too limited knowledge of the parameters and their useful combinations. As a result, information about representative driving profiles is needed. To address these problems we present a visual analytics approach for analyzing multivariate trajectories as a combination of vehicle's location and road elevation data. Our system combines trajectory clustering, interval-based user-driven trip segmentation, and frequent sequences analysis, supported by contingency table and interval-based Parallel Coordinates visualization and enables the expert user to find representative driving profiles for the definition of very compact test courses.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Automotive Research; Trajectory Analysis and Visualization; Visual Analytics

Konferenz

19th International Conference on Information Visualisation (iV) 2015, 22. Juli 2015 - 24. Juli 2015, Barcelona, Spain

Zitieren

ISO 690

SPRETKE, David, Manuel STEIN, Lyubka SHARALIEVA, Alexander WARTA, Valentin LICHT, Tobias SCHRECK, Daniel A. KEIM, 2015. Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research. 19th International Conference on Information Visualisation (iV) 2015. Barcelona, Spain, 22. Juli 2015 - 24. Juli 2015. In: 19th International Conference on Information Visualisation (iV) 2015. IEEE, 2015, pp. 322-329. ISSN 1550-6037. ISBN 978-1-4673-7568-9. Available under: doi: 10.1109/iV.2015.63

BibTex

@inproceedings{Spretke2015Visua-33031,
  year={2015},
  doi={10.1109/iV.2015.63},
  title={Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research},
  isbn={978-1-4673-7568-9},
  issn={1550-6037},
  publisher={IEEE},
  booktitle={19th International Conference on Information Visualisation (iV) 2015},
  pages={322--329},
  author={Spretke, David and Stein, Manuel and Sharalieva, Lyubka and Warta, Alexander and Licht, Valentin and Schreck, Tobias and Keim, Daniel A.}
}

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Universitätsbibliographie

Ja