5 ms·
I guess an important piece (conveniently left out of this story) is that it does not work if there are other cars on the road, as these cars quickly invalidate
by ody4242 7y ago
I guess an important piece (conveniently left out of this story) is that it does not work if there are other cars on the road, as these cars quickly invalidate the data coming from the slow cart.
- matz1 7y agoBut wouldn't that other car be classified as error?
- matmo 7y agoI don't know what the tipping point is, but it'd probably take more than one. I've commuted through backed up/stopped/solid red sections on a motorcycle where I just get to lane-split and cruise through, and it'd still stay red.
- mayniac 7y agoI think Google uses phone sensors to tell motorbikes apart form cars. Pretty simple tech: cars don't lean. Which makes it all the more infuriating that Google Maps still has huge flaws when it comes to motorbike navigation.
- c0restraint 7y ago> I think Google uses phone sensors to tell motorbikes apart form cars While they could, I doubt they do... do you have evidence of this?
- shric 7y agonot the GP, and I don't how it's done, but my Google Maps timeline does distinguish between motorcycling and car trips, however its reliability is questionable. It has often mis-categorised my motorcycle trips as car trips, but rarely if ever the reverse. I would guess (unsubstantiated) that it classifies a motorcycle trip as being unexpectedly fast through many traffic jams.
- dwild 7y agoThey are pretty good to identify public transit from cars too.
- Frost1x 7y agoI always assumed an average was performed over instantaneous velocity that fall in network segments. So, it would depend on the relative magnitude and the edge count on the graph in question you wanted to manipulate. For a long very straight road represented as a single edge, I would assume if you had 100 actual cars, you'd get an average of the manipulated data rate and the real flow rate.
- pbhjpbhj 7y agoIt works out to the same thing, more or less, but I'd guessed they used proximity nodes (junctions) and then when you reach another node use the time (discounting outliers). Then do the calculations at the server for speed and such.
- kayoone 7y agoNot sure if a few cars with GoogleMaps users would cancel out the data from 100 smartphones in the cart though.
- _-___________-_ 7y agoJust add more smartphones to the cart and those other cars will be considered the error.