Introduction

Telematics data from connected vehicles enables insurance pricing based on actual driving behavior rather than demographic factors alone. Usage-based insurance reduces premiums for safe drivers while improving loss prediction through behavioral data.

Telematics Features and Data Collection

Models leverage mileage, driving speed patterns, acceleration patterns, time-of-day driving, and geographic risk, collecting data through vehicle OBD devices or smartphone apps.

Results and Performance

Usage-based pricing improves loss prediction accuracy 15-25% and increases customer engagement through real-time feedback incentivizing safe driving.

Fairness and Discrimination Considerations

Usage-based pricing must avoid unfair discrimination while properly pricing underlying risk, addressing concerns that behavior-based pricing disadvantages certain communities.

Conclusion

Telematics-based pricing improves actuarial accuracy and customer fairness in auto insurance.