Self-driving cars may not be safer than human drivers. Here's why
Much
of the push toward self-driving cars has been underwritten by the hope that they will save lives by
getting involved in fewer crashes with fewer injuries and deaths than
human-driven cars. But so far, most comparisons between human drivers and
automated vehicles have been at best uneven, and at worst, unfair.
The
statistics measuring how many crashes occur are hard to argue with: More than
90 percent of car crashes in the US are thought to involve some form of driver
error. Eliminating this error would, in two years, save as many people as the
country lost in all of the Vietnam War.
But
to me, as a human factors researcher, that’s not enough information to properly
evaluate whether automation may actually be better than humans at not crashing.
Their respective crash rates can only be determined by also knowing how many
non-collisions happen. For human drivers is it one collision per billion
chances to crash, or one in a trillion?
Assessing
the rate at which things do not happen is extremely difficult. For example,
estimating how many times you didn’t bump into someone in the hall today
relates to how many people there were in the hallway and how long you were
walking there. Also, people forget non-events very quickly, if we even notice
them happening. To determine whether automated vehicles are safer than humans,
researchers will need to establish a non-collision rate for both humans and
these emerging driverless vehicles.
Comparing
appropriate statistics
Crash
statistics for human-driven cars are compiled from all sorts of driving
situations, and on all types of roads. This includes people driving through
pouring rain, on dirt roads and climbing steep slopes in the snow. However,
much of the data on self-driving cars’ safety comes from Western states of the
U. S., often in good weather. Large amounts of the data have been recorded on
unidirectional, multi-lane highways, where the most important tasks are staying
in the car’s own lane and not getting too close to the vehicle ahead.

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