From a programmer's and former taxi driver's perspectice, finding a fuzzy path through something chaotic and shifting like a city optimizes for very different l

From a programmer's and former taxi driver's perspectice, finding a fuzzy path through something chaotic and shifting like a city optimizes for very different logic than finding a path through a maze or a jam of vehicles. It's reducing from a big picture versus trying to iterate solutions from a small picture. And I can't tell you how many times I get in a lyft these days and know better than the GPS how to get around a traffic snarl, because pathfinding generally doesn't consider what might happen to traffic 30 minutes from now given the current conditions (if everyone is headed northeast to a concert, for example).