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Data-driven methods for classification of driving styles in buses
Petrozavodsk University, Petrozavodsk, Russia.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Volvo Group Trucks Technology, Göteborg, Sweden.
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Fuel consumption and vehicle breakdown depend upon the driving style of the driver, for example, hard driving style leads to more wear and consequently more failures of vehicle components. Because of this, it is important to identify and classify the driver’s driving style in order to give the driver feedback through a driver assistance system. The driver would then be able to detect and learn to avoid a driving style that is not appropriate. The input data is provided by different sensors installed in the vehicle, where different drivers and driving routes have been measured. The data is subjectively classified into two different driving styles: normal and hard. Hard driving style can be characterized, for example, by rapid acceleration and braking. Since it is not trivial to build a model which is able to distinguish hard driving from normal, a data mining approach has been employed. In the paper, several classifiers are compared (including e.g. neural networks and decision trees) and a discussion is made on the advantages and disadvantages of the different methods. Copyright © 2012 SAE International.

Place, publisher, year, edition, pages
Warrendale, PA: SAE International , 2012.
Series
SAE Technical Papers, ISSN 0148-7191 ; 2012-01-0744
Keyword [en]
Data-driven methods, Driver assistance system, Driving styles, Input datas, Vehicle components
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-19513DOI: 10.4271/2012-01-0744Scopus ID: 2-s2.0-84877176797OAI: oai:DiVA.org:hh-19513DiVA: diva2:550683
Conference
SAE 2012 World Congress & Exhibition, Cobo Center, Detroit, Michigan, USA, April 24-26, 2012
Available from: 2012-09-07 Created: 2012-09-07 Last updated: 2017-04-25Bibliographically approved

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Byttner, StefanSvensson, Magnus
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf