Connected cars; Usage-Based Insurance; Field Trial; eCall System
Résumé :
[en] Following a regulatory change in Europe which mandates that car manufacturers
include an “eCall” system in new vehicles, many car manufacturers are
adding additional services on top, so that more and more cars become connected
vehicles and act like IoT sensors. In the following study, we analyse the maturity
level of this new technology to build insurance products that would take vehicle usage
into account. For this, the connectivity of recent cars a-priori eligible has been
first tested. Then, an ad-hoc platform has been designed to collect driving data.
In particular, 4 cars have been connected to this platform for periods of over one
month. Our results highlight that, while this technological innovation appears very
promising in the future, the pricing, the lack of uniformity of data collected and the
enrollment process are currently three pain points that should be addressed to offer
large-scale opportunities. In the meantime, this technology might still be used for
high value use cases such as the insurance of luxurious cars.
Centre de recherche :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Disciplines :
Sciences informatiques
Auteur, co-auteur :
COLOT, Christian ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
ROBINET, François ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
Nichils, Geoffrey
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Connected Car Platforms, A Field Trial: Are they Ready for Usage Based Insurance?
Date de publication/diffusion :
2023
Titre du périodique :
Advances in Transdisciplinary Engineering
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Projet FnR :
FNR14290833 - Connected Dynamic Insurance, 2019 (01/03/2020-31/08/2022) - Raphael Frank
Intitulé du projet de recherche :
Connected Dynamic Insurance
Organisme subsidiant :
Fonds National de la Recherche - FnR Foyer Insurance Luxembourg
Häberle T, Charissis L, Fehling C, Nahm J, Leymann F. The connected car in the cloud: A platform for prototyping telematics services. IEEE Software. 2015;32(6):11-7.
Gao C, Wang G, ShiW, Wang Z, Chen Y. Autonomous Driving Security: State of the Art and Challenges. IEEE Internet of Things Journal. 2021.
Baecke P, Bocca L. The value of vehicle telematics data in insurance risk selection processes. Decision Support Systems. 2017;98:69-79.
Denuit M, Marechal X, Pitrebois S, Walhin JF. Actuarial modelling of claim counts: Risk classification, credibility and bonus-malus systems. John Wiley & Sons; 2007.
Stigson H, Hagberg J, Kullgren A, Krafft M. A one year pay-As-you-speed trial with economic incentives for not speeding. Traffic injury prevention. 2014;15(6):612-8.
Edlin A. Per-mile premiums for auto insurance. NBER Working Paper Series. 1999.
Boucher JP, Denuit M, Guillen M. Number of accidents or number of claims? An approach with zeroinflated Poisson models for panel data. Journal of Risk and Insurance. 2009;76(4):821-46.
Denuit M, Guillen M, Trufin J. Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data. Annals of Actuarial Science. 2019;13(2):378-99.
Huang Y, Meng S. Automobile insurance classification ratemaking based on telematics driving data. Decision Support Systems. 2019;127:113156.
Ullah S, Kim DH. Lightweight driver behavior identification model with sparse learning on in-vehicle can-bus sensor data. Sensors. 2020;20(18):5030.
Castignani G, Derrmann T, Frank R, Engel T. Driver behavior profiling using smartphones: A low-cost platform for driver monitoring. IEEE Intelligent transportation systems magazine. 2015;7(1):91-102.
Handel P, Skog I, Wahlstrom J, Bonawiede F, Welch R, Ohlsson J, et al. Insurance telematics: Opportunities and challenges with the smartphone solution. IEEE Intelligent Transportation Systems Magazine. 2014;6(4):57-70.
European Parliament. Decision N° 585/2014/EU of the European Parliament and of the Council of 15 May 2014 on the deployment of the interoperable EU-wide eCall service (Text with EEA relevance). Official Journal of the European Union. 2014.
McDonnell K, Murphy F, Sheehan B, Masello L, Castignani G, Ryan C. Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic Data. Sensors. 2021;21(10):3517.
Bian Y, Yang C, Zhao JL, Liang L. Good drivers pay less: A study of usage-based vehicle insurance models. Transportation research part A: policy and practice. 2018;107:20-34.
Paefgen J, Staake T, Thiesse F. Evaluation and aggregation of pay-As-you-drive insurance rate factors: A classification analysis approach. Decision Support Systems. 2013;56:192-201.
Guillen M, Nielsen JP, Ayuso M, Perez-Marin AM. The use of telematics devices to improve automobile insurance rates. Risk analysis. 2019;39(3):662-72.
Tselentis DI, Yannis G, Vlahogianni EI. Innovative insurance schemes: pay as/how you drive. Transportation Research Procedia. 2016;14:362-71.
Litman T. Distance-based vehicle insurance feasibility, costs and benefits. Victoria. 2007;11.
Kaiser C, Stocker A, Festl A, Lechner G, Fellmann M. A research agenda for vehicle information systems. Twenty-Sixth European Conference on Information Systems (ECIS2018). 2018.
The European Parliament CoEU. On the protection of natural persons about the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union. 2016;679:1-88.
Board EDP. Guidelines 1/2020 on Processing Personal Data in the Context of Connected Vehicles and Mobility Related Applications. Version adopted for public consultation Brussels; 2020.
Dick H. The OAuth 2.0 Authorization Framework; 2012. https://datatracker.ietf.org/doc/html/rfc6749.
Gary B. Car insurance in Luxembourg; 2021. https://www.expatica.com/lu/finance/insurance/car-insurance-luxembourg-82882/.