Re:Traffic Prediction with Advanced Graph Neural Networks
by scythe on Saturday September 05, 2020 @11:47PM
(#24388816)
It might as well be noted that Braess's paradox is a phenomenon observed in a world of (mostly) predictionless navigating, i.e. before Google Maps. When fluids flow, phonons communicate "traffic information" at the speed of sound and the resulting flow is usually efficient. You can get Braess's paradox in physics, but you need quantum mechanics:
However, Google Maps updates its traffic predictions much more slowly than the "speed of sound" by any useful definition of the way disturbances propagate in traffic. As 'frogblast noted, far more cars may be suddenly directed down a side road than it can carry, and the recommendation stops being broadcast too late.
https://ui.adsabs.harvard.edu/abs/2012PhRvL.108g6802P/abstra...
However, Google Maps updates its traffic predictions much more slowly than the "speed of sound" by any useful definition of the way disturbances propagate in traffic. As 'frogblast noted, far more cars may be suddenly directed down a side road than it can carry, and the recommendation stops being broadcast too late.