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Waymos crash less than human drivers

(www.understandingai.org)
345 points rbanffy | 1 comments | | HN request time: 0.387s | source
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wnissen ◴[] No.43487648[source]
Serious crash rates are a hockey stick pattern. 20% of the drivers cause 80% of the crashes, to a rough approximation. For the worst 20% of drivers, the Waymo is almost certainly better already.

Honestly, at this point I am more interested in whether they can operate their service profitably and affordably, because they are clearly nailing the technical side.

For example data from a 100 driver study, see table 2.11, p. 29. https://rosap.ntl.bts.gov/view/dot/37370 Roughly the same number of drivers had 0 or 1 near-crashes as had 13-50+. One of the drivers had 56 near crashes and 4 actual crashes in less than 20K miles! So the average isn't that helpful here.

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Terr_ ◴[] No.43490189[source]
Hmmm, perhaps a more-valuable representation would be how the average Waymo vehicle would place as a percentile ranking among human drivers, in accidents-per-mile.

Ex: "X% of humans do better than Waymo does in accidents per mile."

That would give us an intuition for what portion of humans ought to let the machine do the work.

P.S.: On the flip-side, it would not tell us how often those people drove. For example, if the Y% of worse-drivers happen to be people who barely ever drive in the first place, then helping automate that away wouldn't be as valuable. In contrast, if they were the ones who did the most driving...

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chii ◴[] No.43490415[source]
the nature of the accidents also makes a difference tho.

A small fender bender is common in human drivers. A catastrophic crash (like t-boning into a bus) is rare (it'd make the news for example).

Autodriving, on the other hand, almost never makes fender benders. But they do t-bone into busses in rare occasions - which also makes the news.

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Terr_ ◴[] No.43490488[source]
If only it were easier to get the stats in the form of "damage in property/lives in the form of dollars per mile driven", that would let us kinda-combine both big tragic events with fender-benders.

(Yeah, I know it means putting an actuarial cost on a human life, but statistics means mathing things up.)

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1. tsimionescu ◴[] No.43491098[source]
Perhaps the best way to address this would be to look at property damage for car-car or cat-object collisions, and a separate stat for car-pedestrian accidents.

In collisions that don't involve pedestrians, the damage to the car/object is generally proportional to the chance that someone was badly injured or killed in those cases - the only thing you get by adding human life costs is to take into account the quality of the safety features of the cars being driven, which should be irrelevant for nay comparison with automated driving. In collisions that do involve pedestrians, this breaks down, since you can easily kill someone with almost 0 damage to the car.

So having these two stats per mile driven to compare would probably give you the best chance of a less biased comparison.