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> Humans drive with our eyes and we’re pretty bad at driving. I disagree that humans are bad at driving. Let me ask you this, how many miles would a fully aut
by CSMastermind 4y ago
> Humans drive with our eyes and we’re pretty bad at driving.
I disagree that humans are bad at driving.
Let me ask you this, how many miles would a fully autonomous self-driving car need to drive without a fatality for you to be able to reasonably claim that it's statistically a better driver than a human?
And feel free just to round to an order of magnitude here. 2.75 x 10^z <-- what is `z` here?
In 2013 in the US there were 32,719 crash related fatalities and 2.3 million reported injuries. So that must mean humans are bad a driving right? Well those numbers are tiny compared to the 3 trillion miles that humans drove that year.
Humans have about 1.09 fatalities per 100 million miles driven. The probability of a human causing a fatality for a mile driven is low: 0.00000109%
To show to a 95% confidence interval that a self-driving car is better at driving than a human it would need to drive 275 million miles flawlessly. This would require a fleet of 100 vehicles driving continuously for almost 13 years.
- thrashh 4y agoNot all humans are the same either Some people can flawlessly do stunts with their car after driving for a few years and have a perfect driving record Others make you shake in fear every time you sit with them as you see them fail to notice other cars when they change lanes, despite driving for 10 years It’s a bell curve and I think the median is better than current car driving AI, even with LIDAR, can achieve But combo AI (or just safety features) with humans and I think it shifts the bell curve up a lot
- diffxx 4y agoI think part of the problem is the lax licensing standards in the US. For everyone's benefit, we should have higher standards. There also can and should be regional differences. Someone who has learned to drive in a rural or suburban area has not necessarily had the training and experience necessary to safely drive in a city alongside pedestrians and cyclists.
- thrashh 4y agoI think we’re not really willing to up the standards because you need to drive to survive in a lot of places. You can’t change your genetics, you can’t necessarily change where you live, and you can’t just fix transit without rebuilding an entire city that took 100+ years to build so the standards are just what they have to be Over the last many decades, we’ve starting requiring things like backup cameras because cars naturally break down and so it’s something we can actually change on a short timescale (but it does add a lot of cost) Fixing transit is a long timescale thing
- c-cube 4y agoA lot of cities were rebuilt in the 1950s to accommodate cars and car oriented design, destroying neighborhoods in the process. Before that they had public transport and better walkability. The real solution is to undo that.
- WeylandYutani 4y agoYes but how would you give a downtown Boston experience driving test in North Dakota? I still remember the time my mom almost drove into a tram tunnel! She wasn't used to the city.
- bombcar 4y agoIt wouldn’t have to do that much driving flawlessly - many crashes occur without there being a fatality.
- CSMastermind 4y agoIt would actually need to be driven significantly more, see this report: https://www.rand.org/pubs/research_reports/RR1478.html https://www.rand.org/pubs/research_reports/RR1478.html To quote: > Autonomous vehicles would have to be driven hundreds of millions of miles and sometimes hundreds of billions of miles to demonstrate their reliability in terms of fatalities and injuries. > Under even aggressive testing assumptions, existing fleets would take tens and sometimes hundreds of years to drive these miles — an impossible proposition if the aim is to demonstrate their performance prior to releasing them on the roads for consumer use.
- ec109685 4y agoThere are lots of leading indicators that a car (or human) is bad at driving, so you don’t actually have to wait for an accident to know if you are on the right path. E.g. keeping track of near misses / interventions can get you data points much more quickly.