There's a bunch of other interesting flight path optimization work going on at https://contrails.org/.
It turns out contrails contribute to 2% of global warming power and is relatively easily avoided. The cost might be a bit more fuel consumption though.
and this would work in real life too, if only we could all climb and descend entirely at pilot's discretion, direct enter enter and never have to worry about all of the other planes doing the exact same thing.
And never have to intercept certain waypoints when entering different classes of controlled airspace on the correct general heading to line up for a documented runway approach.
It will never work because you have too many human processes in the loop. This HN share by the author is selling the idea of consulting to obtain nominal efficiency on a well established process to human organizations who are structurally opposed to it, subject to human regulators who are structurally opposed to it, in an industry that is famous for aversion to change. Nice try drumming up clients, but realistically you're not going to move the mountain a millimeter on this one. Quicker to wait for AI airports, AI ATC and AI airlines than selling to humans at this point. 20th century humanity just about spitballed together a working system, but making it efficient is not going to happen on our watch. We would do well to admit it.
There's a bunch of other interesting flight path optimization work going on at https://contrails.org/.
It turns out contrails contribute to 2% of global warming power and is relatively easily avoided. The cost might be a bit more fuel consumption though.
I am not sure how this approach would integrate with the common use of navigating between known/mapped IFR navigation waypoints:
https://www.google.com/search?client=firefox-b-d&q=IFR+navig...
https://skybrary.aero/articles/waypoint
https://www.flyingmag.com/how-ifr-fixes-get-their-names/
A plot of a larger sample of post-hoc known wind and other constraints over a regular service would help enormously to sell the idea.
One point at 45min faster and 25% less fuel is of course huge, but how does it map out over a year of routing?
and this would work in real life too, if only we could all climb and descend entirely at pilot's discretion, direct enter enter and never have to worry about all of the other planes doing the exact same thing.
And never have to intercept certain waypoints when entering different classes of controlled airspace on the correct general heading to line up for a documented runway approach.
It will never work because you have too many human processes in the loop. This HN share by the author is selling the idea of consulting to obtain nominal efficiency on a well established process to human organizations who are structurally opposed to it, subject to human regulators who are structurally opposed to it, in an industry that is famous for aversion to change. Nice try drumming up clients, but realistically you're not going to move the mountain a millimeter on this one. Quicker to wait for AI airports, AI ATC and AI airlines than selling to humans at this point. 20th century humanity just about spitballed together a working system, but making it efficient is not going to happen on our watch. We would do well to admit it.
If you said automated instead of AI that would make sense to me.
But why would you want to use AI to control planes?
This is pretty cool! https://github.com/airbus/scikit-decide
It's nice to see the scikit brand live on.