Assessing Driving Risk Through Unsupervised Detection of Anomalies in Telematics Time Series Data

Ian Weng Chan, Andrei L. Badescu, X. Sheldon Lin

Vehicle telematics provides granular data for dynamic driving risk assessment, but current methods often rely on aggregated metrics (e.g., harsh braking counts) and do not fully ex…