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A "Pay How You Drive" Car Insurance Approach through Cluster Analysis

As discussed in the recent literature, several innovative car insurance concepts are proposed in order to gain advantages both for insurance companies and for drivers. In this context, the ``pay how you drive'' paradigm is emerging, but it is not thoroughly discussed and much less implemented. In this paper we propose an approach in order to identify the driver behaviour exploring the usage of unsupervised machine learning techniques. A real world case study is performed to evaluate the effectiveness of the proposed solution. Furthermore, we discuss how the proposed model can be adopted as risk indicator for car insurance companies.

Soft Computing, 2018

Autori esterni: Maria Francesca Carfora (Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche), Albina Orlando (Istituto per le Applicazioni del Calcolo "M. Picone", Consiglio Nazionale delle Ricerche), Vittoria Nardone (Dipartimento di Ingegneria, Università degli Studi del Sannio), Antonella Santone (Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise), Gigliola Vaglini (Dipartimento di Ingegneria dell'Informazione, Università di Pisa)
Autori IIT:

Tipo: Contributo in rivista ISI
Area di disciplina: Computer Science & Engineering

File: pay-drive-car.pdf

Attività: Sicurezza delle infrastrutture critiche