It's tricky to test self-driving cars. Even if you have hundreds of thousands of miles under your belt, it's still difficult to account for every possible real-world peril. Researchers think they can fast-track that experience, however. They've developed a sped-up testing process that should accomplish a lot in just a small amount of time. Instead of a holistic approach that gauges everything at once (and often goes for miles without a meaningful event), the new method breaks things down into individual components you can test frequently and repeatedly in simulations. If you want to gauge the car's reaction to someone cutting you off, for instance, you just focus on that -- you use stat analysis to determine how the car would behave in "boring" moments.