A Vehicle Telematics Service for Driving Style Detection: Implementation and Privacy Challenges

Christian Kaiser, Alexander Stocker, Andreas Festl, Marija Djokic Petrovic, Efi Papatheocharous, Andreas Wallberg, Gonzalo Ezquerro, Jordi Ortigosa Orbe, Tom Szyilagyi, Michael Fellmann

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Pages29-36
Number of pages8
Publication statusPublished - 4 May 2020
Event6th International Conference on Vehicle Technology and Intelligent Transport Systems - Virtuell, Czech Republic
Duration: 2 May 20204 May 2020
http://www.vehits.org/Home.aspx

Conference

Conference6th International Conference on Vehicle Technology and Intelligent Transport Systems
Abbreviated titleVEHITS 2020
CountryCzech Republic
CityVirtuell
Period2/05/204/05/20
Internet address

Keywords

  • Automotive
  • Cloud Computing
  • Connected Vehicles
  • Data-driven Services
  • Mobile Driver Application
  • Privacy
  • Quantified Vehicles
  • Trust
  • Vehicle Telematics Service

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering

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