> "Do whatever the human would do, but more efficient" isn't an answer. These cars can't get on WTOP the day before and listen to the warning that the Pope is visiting and X, Y, Z streets will be blocked off.
Well yes, they can. Planned closures like that are the easiest ones to handle. They are planned and broadcasted. They can simultaneously listen and account for all planned & broadcasted road closures. That's easy.
The harder ones are going to be things like after a storm with a bunch of trees knocked down and random obstructions all over the place.
And yet Google Maps has on multiple occasions failed to recognize when a on-ramp to a major California Interstate was closed (even after the road work had been announced days in advance in huge street signs). I was forced to set my navigation to Avoid Highways for a bit to get it to consider an alternative.
And don't get me started on Germany. You don't stand a chance if you attempt to use Google Maps in Germany to navigate around construction (which is basically always happening somewhere)--at least that's how it was two years ago when going through country roads, despite the presence of well marked closure and detour signs.
My point is, these may be the "easiest" types of things to handle, but we have a long way to go on execution. Getting something to work in one locality (e.g. Arizona) is a far cry from making something work worldwide.
Well yes, they can. Planned closures like that are the easiest ones to handle. They are planned and broadcasted. They can simultaneously listen and account for all planned & broadcasted road closures. That's easy.
The harder ones are going to be things like after a storm with a bunch of trees knocked down and random obstructions all over the place.