Centro de Documentacion de Fundación MAPFRE - Assessing driving risk through unsupervised detection of anomalies in telematics time series data

MAP20260001661

Assessing driving risk through unsupervised detection of anomalies in telematics time series data / Ian Weng Chan, Andrei L. Badescu and X. Sheldon Lin

Sumario: Vehicle telematics provides granular data for dynamic driving risk assessment, but current methods often rely on aggregated metrics and do not fully exploit the rich time-series structure of telematics data. In this paper, we introduce a flexible framework using continuous-time hidden Markov model to model and analyse trip-level telematics data

En: Astin bulletin. - Belgium : ASTIN and AFIR Sections of the International Actuarial Association = ISSN 0515-0361. - 12/05/2025 Volume 55 Issue 2 - may 2025 , p. 205 - 241

1. Matemática del seguro . 2. Seguro de automóviles . 3. Telemática . 4. Evaluación de riesgos . 5. Modelo de Markov . 6. Análisis de datos . I. Badescu, Andrei L. . II. Sheldon Lin, X. . III. International Actuarial Association . IV. Title.