Autonomous Feature Monitoring for Vehicle Risk-Based Insurance
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Solution Overview
Problem
Current vehicle insurance premium determination methods do not account for the use of autonomous vehicle operation features, which affects risk levels, leading to inadequate risk assessment and pricing.
Innovation Solution
A system and method that utilize virtual testing and monitoring to evaluate the effectiveness of autonomous vehicle operation features, determining risk levels based on simulated and actual data to adjust insurance premiums accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional premium determination methods are used, then insurance coverage is provided, but risk assessment is inaccurate because autonomous vehicle features are not considered
Solution Approach 1:
The system performs preliminary evaluation of autonomous vehicle features through virtual testing before actual deployment. Test input signals are presented to the autonomous features in a virtual environment to predict their effectiveness, allowing risk assessment to be based on pre-evaluated performance data rather than traditional factors alone.
Solution Approach 2:
A server acts as an intermediary between the autonomous vehicle features and the insurance premium determination system. The server receives operating data from vehicles, evaluates autonomous feature effectiveness using virtual test results, and generates risk-based premium adjustments, bridging the gap between complex autonomous systems and traditional insurance pricing.
2Reliability
If autonomous vehicle operation features are monitored and evaluated, then accurate risk-based premium determination is achieved, but system complexity and data processing requirements increase
Solution Approach 1:
The system creates a virtual copy of the autonomous vehicle features and their operating environment to conduct tests without affecting actual vehicle operations. This virtual environment allows comprehensive evaluation of autonomous feature responses to various test input signals, generating reliability data for premium determination without requiring complex monitoring of every real-world scenario.
Solution Approach 2:
The server system performs multiple functions: it stores virtual test results, receives operating data from vehicles, evaluates autonomous feature effectiveness, and determines premium adjustments. This multi-functional approach consolidates complexity into a single system rather than requiring separate systems for each function.
3Measurement precision
If virtual testing and monitoring are implemented, then effectiveness of autonomous features is determined, but computational resources and processing time are consumed
Solution Approach 1:
Virtual testing is performed in advance to establish baseline effectiveness metrics for autonomous vehicle features. These pre-computed results are stored and reused when evaluating actual operating data, avoiding the need to run comprehensive virtual tests every time a premium determination is needed, thus reducing repeated computational energy consumption.
Data Source
AI summary
Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.