Autonomous Vehicle Test Track Simulation for Insurance Safety Scoring
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Solution Overview
Problem
There is a lack of methods and systems for determining insurance rates for autonomous cars, as existing technologies do not provide a framework for assessing the safety and performance of autonomous vehicle driving systems.
Innovation Solution
A platform is developed to test autonomous vehicle driving systems in virtual and closed test tracks using fake sensor input data and controllable components to calculate a safe driving score, which is then used to determine insurance premiums and deductibles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle driving systems are tested in real-world conditions, then the testing accuracy and reliability of safety assessment is improved, but the cost and complexity of testing increases significantly
Solution Approach 1:
The patent creates virtual copies of real-world driving environments, vehicles, and scenarios through simulated test tracks. These virtual replicas allow comprehensive safety testing without the complexity and costs of real-world testing, while maintaining assessment reliability through realistic simulation physics and scenario design.
Solution Approach 2:
The patent introduces simulated test tracks as an intermediary between theoretical safety analysis and real-world testing. This intermediate virtual environment provides a controlled bridge that enables systematic safety assessment before deployment, reducing the need for extensive real-world testing while maintaining reliability.
2Measurement precision
If comprehensive real-world testing is conducted to accurately assess autonomous vehicle safety, then the precision of insurance rate determination is improved, but the time required for testing increases
Solution Approach 1:
The patent performs preliminary safety assessments in virtual environments before real-world deployment. By conducting comprehensive virtual testing that simulates diverse driving scenarios, the system determines safety metrics in advance, enabling faster insurance rate determination without sacrificing measurement precision.
Solution Approach 2:
The patent enables continuous parallel testing of multiple autonomous vehicle systems in virtual environments simultaneously. Unlike sequential real-world testing, the simulated test track allows concurrent evaluation of numerous vehicles and scenarios, dramatically reducing total testing time while maintaining precision through continuous data collection and analysis.
3Adaptability or versatility
If extensive testing scenarios are implemented to evaluate autonomous vehicle performance, then the completeness of safety assessment is improved, but the computational resources and cost required increase
Solution Approach 1:
The patent creates a universal virtual test track infrastructure that can evaluate multiple autonomous vehicle systems across diverse driving scenarios using a single platform. This multi-functional system eliminates the need for separate testing infrastructures for different vehicles or conditions, reducing overall computational resource consumption while maintaining comprehensive assessment capabilities.
Data Source
AI summary
Systems and methods are disclosed for determining the efficacy of an autonomous vehicle driving system in exhibiting safe driving behavior during test track scenarios. Testing parameters eliciting autonomous vehicle driving system behavior may be chosen for the test track scenario. The autonomous vehicle driving system may be tested in the test track and autonomous vehicle driving system behavior may be observed in response to the presentations of testing parameters. A safe driving score may be calculated for the autonomous vehicle driving system based on measured autonomous vehicle performance and operational data generated responsive to the presentation of testing parameters in the test track. A benchmark insurance premium may be calculated for an autonomous vehicle driving system based on the calculated safe driving score.