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
Link To Document :
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