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Environment Systems and Decisions

, Volume 39, Issue 4, pp 383–395 | Cite as

Driving to a future without accidents? Connected automated vehicles’ impact on accident frequency and motor insurance risk

  • Fabian Pütz
  • Finbarr MurphyEmail author
  • Martin Mullins
Article

Abstract

Road traffic accidents are largely driven by human error; therefore, the development of connected automated vehicles (CAV) is expected to significantly reduce accident risk. However, these changes are by no means proven and linear as different levels of automation show risk-related idiosyncrasies. A lack of empirical data aggravates the transparent evaluation of risk arising from CAVs with higher levels of automation capability. Nevertheless, it is likely that the risks associated with CAV will profoundly reshape the risk profile of the global motor insurance industry. This paper conducts a deep qualitative analysis of the impact of progressive vehicle automation and interconnectedness on the risks covered under motor third-party and comprehensive insurance policies. This analysis is enhanced by an assessment of potential emerging risks such as the risk of cyber-attacks. We find that, in particular, primary insurers focusing on private retail motor insurance face significant strategic risks to their business model. The results of this analysis are not only relevant for insurance but also from a regulatory perspective as we find a symbiotic relationship between an insurance-related assessment and a comprehensive evaluation of CAV’s inherent societal costs.

Keywords

Connected automated vehicles Automated driving accident risk Motor insurance 

Notes

Funding

This work was supported by the VI-DAS (Vision Inspired Driver Assistance Systems), a European Commission Horizon 2020 research consortium [Grant Number 690772].

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.University of LimerickLimerickIreland
  2. 2.TH Köln University of Applied SciencesCologneGermany

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