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  "documentTitle": "Measuring What Matters",
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  "notes": "This slide defines variables used in an insurance risk model for autonomous vehicles.",
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      "text": "a, b, c: Boundary condition multiplier to set lower/upper bounds on autonomous insurance premium relative to traditional trucking\nFor example, if autonomous trucks are shown to be 30% more likely to encounter incidents (MTrad / MAuto ratio of 1.3), the insurance multiplier does not increase by 30%\nCurrent best practice range: 0.3-0.5",
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      "text": "k: Disengagement-to-risk translation constant (currently 10-20%)\nFor example, if k=0.1, then each disengagement per 1,000 miles would raise the expected risk by 10%. Insurers calibrate k based on what fraction of disengagements are assumed would result in an incident.",
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