Method and system for analyzing driver behaviour based on telematics data

This invention describes a system that uses data from a vehicle (telematics data) to understand how someone drives. It calculates a probability that a user is driving, then specifically uses a machine learning model to create a risk score and a driver profile. The system also groups routes, adds contextual information to refine the risk score, predicts future routes, and fills in any missing trip data.

Why it matters: Filed before advanced machine learning for geospatial and time-series data was common. Modern ML frameworks and cloud computing now make complex route analysis and prediction more robust.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, data processing.

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