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

Loading...
Thumbnail Image
Date
2015
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
EU project number
Project
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Contribution to a conference collection
Publication status
Published
Published in
19th International Conference on Information Visualisation (iV) 2015. - IEEE, 2015. - pp. 322-329. - ISSN 1550-6037. - ISBN 978-1-4673-7568-9
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Automotive Research; Trajectory Analysis and Visualization; Visual Analytics
Conference
19th International Conference on Information Visualisation (iV) 2015, Jul 22, 2015 - Jul 24, 2015, Barcelona, Spain
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690SPRETKE, 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, Jul 22, 2015 - Jul 24, 2015. In: 19th International Conference on Information Visualisation (iV) 2015. IEEE, 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.}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/33031">
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-02-18T10:39:45Z</dcterms:available>
    <dcterms:title>Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research</dcterms:title>
    <dc:contributor>Sharalieva, Lyubka</dc:contributor>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33031/1/Spretke_2-7c7uw1kblppv7.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33031/1/Spretke_2-7c7uw1kblppv7.pdf"/>
    <dc:creator>Licht, Valentin</dc:creator>
    <dc:creator>Schreck, Tobias</dc:creator>
    <dc:language>eng</dc:language>
    <dc:contributor>Licht, Valentin</dc:contributor>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dcterms:issued>2015</dcterms:issued>
    <dc:contributor>Stein, Manuel</dc:contributor>
    <dc:creator>Warta, Alexander</dc:creator>
    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
    <dc:contributor>Schreck, Tobias</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Stein, Manuel</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:contributor>Spretke, David</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Spretke, David</dc:creator>
    <dc:creator>Sharalieva, Lyubka</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/33031"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-02-18T10:39:45Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Warta, Alexander</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed