6 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour
Ian Weng Chan, Spark C. Tseung, Andrei L. Badescu +1
With the advancement in technology, telematics data which capture vehicle movements information are becoming available to more insurers. As these data capture the actual driving be…
A Posteriori Risk Classification and Ratemaking with Random Effects in the Mixture-of-Experts Model
Spark C. Tseung, Ian Weng Chan, Tsz Chai Fung +2
A well-designed framework for risk classification and ratemaking in automobile insurance is key to insurers' profitability and risk management, while also ensuring that policyholde…