> An app can't convey near the granularity of control to the driver compared to what a fully automated solution could do
Yes I agree, however it might not require that level of granularity, that's what I was wondering given that the researchers were surprised by it working as easily as it did in their experiment. Since, That's why I am wondering, maybe it's something a human could be taught or directed to do by an app.
Open questions to me: Is central coordination required which observes the current state of the system and doles out specific instructions depending on that? If it's simpler is possible to craft a simple set of heuristics we could be taught to follow that would make things better if enough people knew them and followed them? Could they perhaps be implemented with simple road signaling targeting know problem area where jams frequently occur?
I'm pretty sure central coordination is not required for at least some significant benefit.
If you drive at the average travel speed steadily instead of filling gaps in front of you as soon as they open, that smooths traffic out for the car behind you as well. Traffic waves of stops and starts can still form back a bit behind you, but it's unlikely to happen immediately behind you. If even a small fraction of drivers drove like this, there would be much less opportunity for spontaneous jams to form.
I saw an impressive video demonstrating this a few years ago, but just spent a few minutes failing to find it. It showed a guy driving at the average speed of the car in front, so that the gap opened and closed as traffic in front slowed down, sped up, stopped, etc. There are articles about doing this, and animations, but what made this a compelling video was where it was filmed: a long straight concave-up road full of cars that was coming down a hill, so you could look out the back and see an long line of cars moving smoothly and not jammed, while in front there was a long line of cars stopping and starting chaotically.
Yes I agree, however it might not require that level of granularity, that's what I was wondering given that the researchers were surprised by it working as easily as it did in their experiment. Since, That's why I am wondering, maybe it's something a human could be taught or directed to do by an app.
Open questions to me: Is central coordination required which observes the current state of the system and doles out specific instructions depending on that? If it's simpler is possible to craft a simple set of heuristics we could be taught to follow that would make things better if enough people knew them and followed them? Could they perhaps be implemented with simple road signaling targeting know problem area where jams frequently occur?