Autonomous Driving Feature Control for Risk-Based Insurance Pricing
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Solution Overview
Problem
Current vehicle insurance premium determination methods do not account for the use of autonomous vehicle operating features, leading to inadequate risk assessment and pricing.
Innovation Solution
A system and method that determine the engagement or disengagement of autonomous vehicle operation features based on risk levels, involving a computer that assesses both autonomous operation risk and operator risk, and adjusts insurance policy costs accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vehicle insurance premium determination methods are used, then the insurance pricing is simple and based on standard factors, but it does not account for autonomous vehicle operating features leading to inadequate risk assessment
Solution Approach 1:
The risk assessment system is segmented into multiple independent evaluation modules: autonomous operation risk assessment, operator risk assessment, and preparedness level assessment. Each module evaluates specific aspects separately and contributes to the overall risk profile, enabling comprehensive risk measurement without requiring a single complex deterministic model
Solution Approach 2:
The system continuously monitors vehicle operation data, autonomous feature usage, and operator behavior in real-time, feeding this information back to dynamically adjust risk assessments and premium determinations. This feedback loop ensures that the risk assessment accuracy improves continuously based on actual operational data rather than relying solely on static traditional factors
2Reliability
If autonomous vehicle operation features are engaged, then vehicle operation safety is improved through computer control, but the system complexity increases requiring continuous monitoring and assessment
Solution Approach 1:
The computer system performs multiple functions simultaneously: it controls autonomous vehicle operations, monitors operation data, assesses risks, and interfaces with insurance systems. This multi-functionality consolidates what would otherwise be separate complex systems into a single integrated platform, managing complexity while maintaining high reliability through centralized control
Solution Approach 2:
The system performs preliminary risk assessments and preparedness evaluations before autonomous operation begins, and continuously monitors during operation. By proactively identifying and addressing potential safety issues before they manifest as problems, the system maintains high reliability while the monitoring complexity is managed through preventive rather than reactive measures
Data Source
AI summary
Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.