Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling

• URL: http://arxiv.org/abs/2109.07211v1
• Date: Wed, 15 Sep 2021 11:00:18 GMT
• Title: Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling
• Authors: Jiamin Yu
• Abstract summary: This article examines the emerging technical difficulties, new ideas, and methods of risk modeling under autonomous driving scenarios. It provides technical feasibility for realizing risk assessment and car insurance pricing under a computer simulation environment.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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