  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.
