it takes longer to load a train with assigned seating -- that's why say, Amtrak might do it, but commuter rail trains, that at peak run minutes apart and want to minimize dwell-times at highly contended platforms, optimize for loading speed.
I've only done much less hellish Grand Central version, and I think Metro North publishes track assignments much earlier.
That said though, just imagine how much worse it would be if that mass rush was between platforms, fighting opposing traffic, instead of just from a (mostly) open waiting area.
I can see why the MTA wouldn't want you telling people to go to a track before it is actually assigned -- if the train ends up on a different track, now you need to get all those people back up, off that platform an on to the new one, clogging stairs that that people who actually wanted that platform might be trying to use too. Obviously it would be nice to assign tracks earlier, so that people can head straight to the right platform, but sending people to potentially the wrong platform seems even worse.
EDIT:
Penn is extremely platform/track constrained -- NJ Transit, LIRR and Amtrak are all sharing a fixed number of platforms, some of which are too short.
To maximize platform utilization, they have to wait until the last minute to finalize track assignments -- if you reserve one too early and the train ends up late, you're wasting an empty platform. Once you send a horde of people to a platform, moving them to a different one is a challenge (stairs/bottlenecks, communication, etc).
I did not realize the physiological effects would be as severe:
> The fraction of carbon dioxide is growing: It just crossed 400 parts per million, and high-end estimates extrapolating from current trends suggest it will hit 1,000 ppm by 2100. At that concentration, compared to the air we breathe now, human cognitive ability declines by 21 percent.
One of the challenges for us in implementing something like LISTEN/NOTIFY comes from our distributed nature: since a table is likely broken up across many nodes, you somehow need to aggregate changes from all of them back into a single change feed wherever the listener is, and in such a way that it doesn't create a single point of failure.
Long answer: at their closest earth and mars are about 54m km apart, at the furthest it's over 400, with an average of around 225m km, so theoretical latency is varies between 4 and 24 minutes.
CockroachDB uses synchronous replication via raft, and that latency would cause problems as would some other setting like our window sizes and their interaction with timeouts.