• DocumentCode
    1813358
  • Title

    Towards electric mobility data mining

  • Author

    Duchrow, Timo ; Schroer, Martin ; Griesbach, Britta ; Kasperski, Sebastian ; Bermpohl, Fabian Maas genannt ; Kramer, S. ; Kirchner, Frank

  • Author_Institution
    Robot. Innovation Center, German Res. Center for Artificial Intell. (DFKI GmbH), Bremen, Germany
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the advent of electric mobility, new challenges arise for car makers, utility companies, car sharing ventures, and policy makers in planning, deployment, and management of electric vehicle infrastructures. To this end, efficient systems for the large scale acquisition, management, and analysis of mobility and consumption data become an enabling factor. We present a framework for collecting heterogeneous fleet-related data to generate reports about vehicle and fleet usage. Using this framework, we present an analysis of trips and charge intervals from one year of telemetry data gathered from a subset of a pilot electric vehicle fleet in northern Germany. We further investigate which factors are associated with differences of relative levels of energy usage per kilometer.
  • Keywords
    data mining; electric vehicles; telemetry; car makers; car sharing ventures; charge intervals; consumption data; electric mobility data mining; electric vehicle infrastructures; heterogeneous fleet-related data; policy makers; telemetry data; Batteries; Data models; Global Positioning System; Image edge detection; Roads; Telemetry; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183199
  • Filename
    6183199