Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/181175
Title: 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
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
Issue Date: Jul-2021
Publisher: MDPI
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 (...)
Note: Reproducció del document publicat a: https://doi.org/10.3390/e23070829
It is part of: Entropy, 2021, vol. 23, num. 829, p. 1-22
URI: http://hdl.handle.net/2445/181175
Related resource: https://doi.org/10.3390/e23070829
ISSN: 1099-4300
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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