In contrast, I've found most speed limits in Germany to be reasonable absolute maximum limits - except on one or two places on streets I know very well. And I'm not talking about the Autobahn - if I see 70 km/h in Germany (45-ish mph), its probably dangerous to go faster. If I see 45 mph in the States, it seems to mean "everybody go 55 mph".
1. The traffic lights need to be coordinated and that means presuming a certain speed. Now the problem is a lot of traffic lights are close enough that changing the programming of just one should ripple through the entire system and this recently (especially on a regulation making time scale) was a problem consuming extraordinary amounts of computing power.
The other, more cynical reason for lowering speed limits is that in many countries now, speed traps are a significant source of income for the state. Making the speed limit significantly lower than what the standard 85% rule says is a good way to extract money from unsuspecting drivers.
Excessive speed is the primary cause of a third of all fatal accidents and a contributing factor in at least half. Instead of training the self-driving cars to be more human, we ought to train humans to act more like the computers! Speeding is one of the stupidest norms that exists in our society. We should definitely not try to encourage it.
https://en.wikipedia.org/wiki/Solomon_curve
> Speeding is one of the stupidest norms that exists in our society.
Politicians arbitrarily setting the speed limits is the root cause.
The EU has many countries which have higher freeway limits, yet lower accidents per mile driven. They also have more stringent licensing.
>Politicians arbitrarily setting the speed limits is the root cause.
Of speeding, or accidents?
The link sourced multiple studies. The originals were dubious, subsequent ones not so much.
But the issue the Solomon curve and other similar studies points out is that humans (and largely Americans) will ignore the rules if they feel they can safely go faster.
And sure, you can't ignore overall average speed. Crashes on roads where the average speed is 100 mph are going to be much more prone to fatalities than 55 mph roads. So, there are two rough equations: Lower average speeds mean less severe crashes; speed limits set to the 85th percentile mean fewer crashes. As the speed limit is raised (from 0), there will be at least one solution that satisfies both of those equations and results in the fewest fatal crashes (if that's your goal).
In certain situations the lower speed limits can make things less safe. For example, a straight, well maintained toll road with wide lanes, clear vision ahead, and say wildlife barriers that was designed for 75mph max speeds is constructed in a state with statewide 55mph speed limits. Construction uses the latest traffic easing and safety techniques, since you don't want to construct all roads to enforce speed limits that may change in the future.
So now most truckers and cautious drivers go 55mph, while people with less inhibitions are weaving in and out of them.
It doesn't mean increasing limits to something that is unsafe.
Counterpoint: creating traffic by going at the speed limit requires that other people on the road are going over. Both parties are to blame, but only one party isn't increasing their energy at a exponential rate (1/2mv^2).
On the flip side (almost literally), I once drove around Ireland for a week. Of course my instinct was to drive slightly over the speed limit, but I quickly found 100 kph on 1.5-lane roads winding around sheep pastures with no visibility nearly impossible to safely match let alone exceed…
This isn't obvious at all.
While crashing into an AI driver I may be able to blame the AI, it's still a huge pain and possible loss for me as a human.
If the reality is that AI is not leaving and they have peccadilloes, then the human drivers and legal structure will just need to adapt (something we aren't bad at).
If two actors, one of which is following the law, has a higher risk than two actors both breaking the law, the lawbreaker is still at fault for the increased risk.