Change search
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
A Vehicle Telematics Service for Driving Style Detection: Implementation and Privacy Challenges
Virtual Vehicle Research GmbH, Germany.
Virtual Vehicle Research GmbH, Germany.
Virtual Vehicle Research GmbH, Germany.
Virtual Vehicle Research GmbH, Germany.
Show others and affiliations
2020 (English)In: 6th International Conference on Vehicle Technology and Intelligent Transport Systems, {VEHITS} 2020,, 2020, p. 29-36Conference paper, Published paper (Refereed)
Abstract [en]

Connected mobility is not only a future market, but also holds great innovation potential. The analysis of vehicle telematics data in the cloud enables novel data-driven services for several stakeholders, e.g. a mobile application for the driver to obtain his driving style. This inevitably leads to privacy concerns and the question why and when are users willing to share driving telematic data, which we addressed in an empirical study. The paper presents an implementation of a data-driven service based on vehicle telematics data and discusses how privacy issues can be tackled. For the data-driven service, the most interesting steps along the vehicle data value chain are described in detail, firstly (i) vehicle telematics data collection, secondly, (ii) the wireless data transfer to a cloud platform, and thirdly, (iii) pre-processing and data analysis to evaluate the drivers’ driving style and analyse the driving risk. Finally, (iv) a smartphone application for drivers presents driving style and driving risk data on the smartphone in an interactive way, so that the driver can work on improving both, which has a positive effect on driving and road safety.

Place, publisher, year, edition, pages
2020. p. 29-36
Keywords [en]
Automotive, Connected Vehicles, Data-driven Services, Vehicle Telematics Service, Privacy, Trust, Cloud Computing, Mobile Driver Application, Quantified Vehicles
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-45057DOI: 10.5220/0009329400290036OAI: oai:DiVA.org:ri-45057DiVA, id: diva2:1438922
Conference
6th International Conference on Vehicle Technology and Intelligent Transport Systems, {VEHITS} 2020, Prague, Czech Republic, May 2-4, 2020
Available from: 2020-06-11 Created: 2020-06-11 Last updated: 2023-05-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Papatheocharous, Efi

Search in DiVA

By author/editor
Papatheocharous, Efi
By organisation
Mobility and SystemsPrototyping Society
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 106 hits
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