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Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling

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  • Jiamin Yu

Abstract

It has been for a long time to use big data of autonomous vehicles for perception, prediction, planning, and control of driving. Naturally, it is increasingly questioned why not using this big data for risk management and actuarial modeling. This article examines the emerging technical difficulties, new ideas, and methods of risk modeling under autonomous driving scenarios. Compared with the traditional risk model, the novel model is more consistent with the real road traffic and driving safety performance. More importantly, it provides technical feasibility for realizing risk assessment and car insurance pricing under a computer simulation environment.

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  • Jiamin Yu, 2021. "Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling," Papers 2109.07211, arXiv.org.
    • Handle: RePEc:arx:papers:2109.07211
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    File URL: http://arxiv.org/pdf/2109.07211
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    Cited by:

    1. Jiamin Yu, 2022. "Will claim history become a deprecated rating factor? An optimal design method for the real-time road risk model," Papers 2204.11585, arXiv.org.

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