Latest revision as of 13:42, 16 February 2021

Abstract

  The use of advanced driver assistance systems and the transition towards semi-autonomous vehicles are expected to contribute to a lower frequency of motor accidents and to have a significant impact for the automobile insurance industry, as rating methods must be revised to ensure that risks are correctly measured. Telematics information and usage-based insurance research are analyzed to identify the effect of driving patterns on the risk of accident. This is used as a starting point for addressing risk quantification and safety for vehicles that can control speed. The effect of excess speed on the risk of accidents is estimated with a real telematics data set. Scenarios for a reduction of speed limit violations and the consequent decrease in the expected number of accident claims are shown. If excess speed could be eliminated, then the expected number of accident claims could be reduced to half of its initial value, applying the average conditions of the data used in this study. As a consequence, insurance premiums also diminish.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/j.aap.2018.11.005

• http://hdl.handle.net/2445/127793 under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es

• https://api.elsevier.com/content/article/PII:S0001457518309576?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0001457518309576?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.aap.2018.11.005 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S0001457518309576,

https://www.ncbi.nlm.nih.gov/pubmed/30472530,

http://diposit.ub.edu/dspace/handle/2445/127793,

https://academic.microsoft.com/#/detail/2901509779