Given that these vehicles will shift the risk model from driver to manufacturer, and subsequently programmed to obey the laws (which include right of way), we might actually see pedestrians and cyclists using their right of way instead of being bullied away from it.
The idea that cars can communicate with each other so they could drive closer together and faster is complete bullshit...Sure, it's possible, but what profit-driven company would ever take that risk knowing the real-world reliability of wireless communication?
The idea that they won't drive around looking for parking? Welcome to your traffic jam of the future: https://twitter.com/yann_rouen/status/807781862022246401
Pretty much all the evidence points to very slow traffic in the future of self driving cars. As someone who mostly walks everywhere, I'm pretty excited.
It may not make the traffic in downtown SF faster, but it sure will make the traffic on the 101 from SF to San Jose faster. And good luck walking that.
The shock wave phenomenon is one caused by physics (it literally is modeled by fluid dynamics simulation), exacerbated by limited visibility, and exacerbated once again by human reaction times. You can only get rid of the human reaction times, and maybe a little bit of visibility due to communication (although I'm extremely skeptical that there is any incentive for cars to rely on wireless communication to make decisions).
Lanes merging is a physical bottleneck. Sure, humans might make the merge worse, but speed is still limited by the capacity bottleneck, not the friction of the merge. The zipper merge has never proven to be faster, merely safer and more space efficient. You'll get to the bottleneck faster, and cars that try to exit before the bottleneck will get out of your way faster, but that's about it.
I've even done this myself. I see a standing wave in front of me and slow to what I know is about average for that time of time. People cut in front of me as the gap gets bigger, but by the time I get to the choke point the wave dissolves as I pass through, and everyone behind me who was pissed about my slow speed is suddenly happy.
We know, due to fluid dynamics simulation, that reduced reaction times will make traffic more resilient to small fluctuations in speed (they can "recover" from the shock wave with lower space requirements), but when the freeway is at capacity there is no recovery room and the shock wave will happen regardless of reaction time.
The road train has no cushion (ignore the few inches in pintle hooks) so it brakes as a unit. And accelerates as a unit. Does that make it's recovery from shocks 20x as good as 20 cars?
And, to build on this point, a lot of urban ones are produced or exacerbated by improper behavior at stoplights.
If the kids being dropped off at that school started using self-driving Uber Pools, then that video would be better described as "Welcome to your traffic jam of the past."
I'm open to the idea that carpooling might increase, but where will it come from? If it is coming from public transit, that would be a net increase in congestion. If it is coming from cars, it would be a net win...but self-driving cars should make ubers cheaper, not more expensive, and the relationship with supply/demand at lower cost would suggest that people would move away from uber pools and towards uberx. I would imagine that the more flexible ride-matching of uber pool (compared to traditional carpooling) would make it easier to use uberpool than it currently is to carpool, and with the right incentives (congestion charges that are waived for carpooling?), we could probably make it work pretty well. I don't know though, the complexity of the dynamics here makes it pretty hard for me to predict with any confidence.
Second, and more importantly, when you have only autonomous vehicles on the road, you can make assumptions that all drivers are perfectly rational, and then your safety margins can be smaller, allowing closer travel at higher speeds.
I suspect in the future, much like how when we transitioned from horse drawn carriage to motor vehicle, at first they will share roads, but then there will be autonomous only roads where the speeds will be higher.
Are you saying that a rational driver will never apply maximum braking?
However, the fact that the computer in the following car can detect instantly that the front car is slowing, it can react instantaneously and (theoretically, with similar braking distances) the following car would stop exactly the same distance (give or take a few inches) from the leading vehicle as when they were driving at speed...
So how does data communication (or lack thereof) affect this?
The follower can instantly detect that the leader is slowing via sonar/lidar/radar, right?
Then the distance between the cars that they should hold should be calculable by enforcing braking performance on the automated cars...
Assuming its enough, a simple 2 carlength rule would 1) give enough distance to stop and 2) allow for merging easily (second car would slot into place, following cars would slow slightly to make the gap again) ...
because that's not the most efficient way to move traffic. Yes, a road at it's limit is going to be worse off. Perfect merging and other better habits will help in a lot of places. Just think of all the times you see some idiot merge in at 50 way before the end of the lane.
Because there's a huge difference between individual agents trying to maximize their own benefit to the detriment of everyone else (while also operating based on limited, local sensor data, and with limited processing power and slow reaction times), and a fully integrated traffic flow where fast, powerful agents communicate with each other, share sensor data and telemetry, and are able to make global optimizations.
Scenario #1 often produces pathologic outcomes that are way below global optimum. Scenario #2 can optimize traffic to the extent that human drivers would be unable to keep up with it (think rush hour traffic moving at legal speed limit nearly bumper to bumper with no accidents).
I think it can be done; the following car may have to brake hard if communication is lost with the leading car.
Let z1 be the safe following distance behind a non-smart car, and z2 be the safe following distance behind a smart car. z2 < z1.
Follower approaches leader and settles at z1. Follower attempts to contact leader. If contact is successfull, follower measures link quality and computes z3=f(z1, z2, quality). If link quality is perfect, z3 can be z1 - in which case the slightest link disturbance causes hard braking.
If link quality is 50%, z3 might be avg(z1, z2), and the follower has more time budget to avoid braking during tiny dropouts.