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I'm still not sold that "A robot car would reduce these rates to near zero" as you claim. Your statistics give: time of day; weather conditions; area (pedestrian or motor vehicle designated); alcohol consumption; and state/city data;

BUT I don't see conditions predicating the crash.

I would be very interested, and would be sold more on the idea of self-driving cars if the advocates who make your claim could point to examples that would reduce these rates. How many accidents are caused by drivers swerving to miss something? How many are caused by driver inattentiveness? How many are caused by mechanical error? Without these numbers, saying that a robot car would reduce these rates to near zero is on the same footing as anyone who wants to claim that self-driving cars would kill more people, because we can plan ahead. I hope that makes sense, I'm having a hard time with the language today.

By the way, I love the concept of self-driving cars, I just don't think they're the cure-all most advocates, such as yourself, claim them to be.




You're acting like one of those people who say that we don't have all the evidence on global climate change yet. There's no mystery about what causes motor vehicle collisions. Here is a huge report from the administration to Congress on the causes of motor vehicle collisions.

http://www-nrd.nhtsa.dot.gov/Pubs/811059.PDF

The majority of crashes occur in daytime, in clear weather, while the car is moving in a straight line. You'll note that substantially all of these causes would be solved by a computer-driven car.

""" About 41 percent of the driver-related critical reasons were recognition errors that include inattention, internal and external distractions, inadequate surveillance, etc. Of these, the most frequently occurring critical reason was inadequate surveillance that refers to a situation in which a driver failed to look, or looked but did not see, when it was essential to safely complete a vehicle maneuver. This critical reason was assigned to drivers in about 20 percent of crashes. Internal distraction as a critical reason was assigned to drivers in about 11 percent of the crashes. About 34 percent of the driver-related critical reasons were decision errors that included too fast for conditions (8.4%), too fast for curve (4.9%), false assumption of others’ actions (4.5%), illegal maneuver (3.8%), and misjudgment of gap or others’ speed (3.2%). In about 10 percent of the crashes, the critical reason was a performance error, such as overcompensation (4.9%), poor directional control (4.7%), etc. Among the nonperformance errors assigned as critical reasons to drivers in about 7 percent of the crashes, sleep was the most common critical reason (3.2%). The effectiveness of vehicle-based countermeasures used in mitigating the effects of various driver performance, recognition, and decision errors could be evaluated using this information. """

You'll note that "vehicle problem" is the critical pre-crash event for only 1.2% of crashes. Therefore if the computer _only_ solves the sleeping driver problem, and even if it is twice as bad as humans at handling vehicle mechanical failure, society is still reaping a net benefit. But, of course, computer-driven cars can solve nearly all of these causes of crashes: inattention, misperception, distraction, sleeping, driving too fast for conditions, and on and on.




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