Results 21 to 30 of about 498,282 (212)

Synthetic Dataset Generation of Driver Telematics

open access: yesRisks, 2021
This article describes the techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset.
Banghee So   +2 more
doaj   +1 more source

The Use of Telematics Devices to Improve Automobile Insurance Rates [PDF]

open access: yesRisk Analysis, 2018
AbstractMost automobile insurance databases contain a large number of policyholders with zero claims. This high frequency of zeros may reflect the fact that some insureds make little use of their vehicle, or that they do not wish to make a claim for small accidents in order to avoid an increase in their premium, but it might also be because of good ...
Guillén, M.   +3 more
openaire   +4 more sources

Variable Selection Algorithm for a Mixture of Poisson Regression for Handling Overdispersion in Claims Frequency Modeling Using Telematics Car Driving Data

open access: yesRisks, 2022
In automobile insurance, it is common to adopt a Poisson regression model to predict the number of claims as part of the actuarial pricing process. The Poisson assumption can rarely be justified, often due to overdispersion, and alternative modeling is ...
Jennifer S. K. Chan   +4 more
doaj   +1 more source

Transformation of insurance technologies in the context of a pandemic [PDF]

open access: yesInsurance Markets and Companies, 2021
The COVID-19 pandemic has affected different sectors of the economy, including insurance, and has become a problem and a clear catalyst for innovation.
Svitlana Volosovych   +4 more
doaj   +1 more source

Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach

open access: yesRisks, 2022
In recent years it has become possible to collect GPS data from drivers and to incorporate these data into automobile insurance pricing for the driver.
Allen R. Williams   +4 more
doaj   +1 more source

Smart Auto Insurance: High Resolution, Dynamic, Privacy-Driven, Telematic Insurance

open access: yesCoRR, 2021
15 pages, 1 figure, 2 ...
Michael Bartholic   +4 more
openaire   +3 more sources

Regulating Telematics Insurance [PDF]

open access: yes, 2020
Abstract‘Telematics’ insurance is an example of data driven innovation in the insurance industry where data obtained from the vehicle (such as speed, time and location) is used to provide consumers with premiums based on their actual driving behavior.
openaire   +1 more source

Driving Behavior Analysis for Smartphone-based Insurance Telematics [PDF]

open access: yesProceedings of the 2nd workshop on Workshop on Physical Analytics, 2015
Insurance telematics programs are continuously gaining market shares in the automotive insurance industry. By recording data on drivers' behavior, the information asymmetry between the policyholder and the insurer is reduced, enabling a granular risk differentiation based on the true risk levels of the drivers.
Johan Wahlström   +2 more
openaire   +2 more sources

TOWARDS DIGITALIZATION IN INSURANCE MARKET: TELEMATIC INSURANCE

open access: yesMugla Journal of Science and Technology, 2020
A new type of insurance where information technology is widely used has emerged in the field of digital insurance: telematics insurance. By receiving the real-time data of the insured with the help of telematics devices containing car-connected technology, telematics insurance plays an important role in determining the risk of the insured and ...
openaire   +3 more sources

Usage‑Based Insurance As an Instrument of Restoring Equilibrium on Motor Insurance Market in Poland

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
The paper shows that thanks to the Usage‑Based Insurance, the industry can minimise the negative effect information asymmetry has on the Polish motor insurance market.
Łukasz Kuryłowicz
doaj   +1 more source

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