Driving Risk Assessment using Near-miss Events based on Panel Poisson Regression and Panel Negative Binomial Regression

Author

Sun, Shuai

Bi, Jun

Guillén, Montserrat

Pérez Marín, Ana María

Publication date

2021-11-09T19:10:11Z

2021-11-09T19:10:11Z

2021-07

2021-11-09T19:10:11Z

Abstract

This study proposes a method for identifying and evaluating driving risk as a first step towards calculating premiums in the newly emerging context of usage-based insurance. Telematics data gathered by the Internet of Vehicles (IoV) contain a large number of near-miss events which can be regarded as an alternative for modeling claims or accidents for estimating a driving risk score for a particular vehicle and its driver (...)

Document Type

Article
Published version

Language

English

Subjects and keywords

Avaluació del risc; Assegurances d'accidents de treball; Anàlisi de regressió; Anàlisi de dades de panel; Risk assessment; Employers' liability insurance; Regression analysis; Panel analysis

Publisher

MDPI

Related items

Reproducció del document publicat a: https://doi.org/10.3390/e23070829

Entropy, 2021, vol. 23, num. 829, p. 1-22

https://doi.org/10.3390/e23070829

Rights

cc-by (c) Sun, Shaui et al., 2021

https://creativecommons.org/licenses/by/4.0/

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