Improving Accuracy of Maps Using Anonymized GPS Traces

S2 Geometry [1] is a pretty cool library for anyone who hasn&#x27;t need it before and it doing map stuff. They mention it in the article half way through. Allows you to programmatically bucket GPS data and quickly search adjoining cells, etc. I was using this for a wifi project a while back and was pretty awesome.<p>[1] <a href="http:&#x2F;&#x2F;s2geometry.io&#x2F;" rel="nofollow">http:&#x2F;&#x2F;s2geometry.io&#x2F;</a>

GPS traces aren&#x27;t anonymous. If you go the same places often, your GPS trace is easily traced to you.

I might have missed it, but how do they handle roadwork in European cities?<p>They have a lot of one way street and an entire path might be reversed for 2 weeks during utility work, then brought back to normal (like replacing cast iron gas pipes, or moving all the utilities before a light rail).

I guess the idea here is that Uber is developing technologies that would put them ahead of a new entrant&#x2F;competitor. Time will tell.

What map data does Uber use? I think they&#x27;re making heavy use of Google Maps&#x27; API for the front end but what about the routing - do they roll their own or use Mapbox&#x2F;Google?

&quot;driver-partner&quot; yuck.