Creating Hyper-Accurate Maps from Open-Source Maps and Real-Time Data
eng.lyft.com
eng.lyft.com
Become the Redhat of vehicle logistics.
They'd probably survive and it would also likely kill off Uber.
While I would appreciate Lyft being a company like that, I suspect that most people won't care whether the taxi-companies use open platforms; and taxi companies would have no incentives to use Lyft's platform when the taxi companies already have their own network.
I see what you did there.
On the German OSM sub-forum there's a thread about improving OSM with data from Amazon drivers. It's hilarious how incompetent their mappers are and how sloppy their drivers are (e.g. reporting wrong speed limits).
I could be entirely wrong, but it was my understanding Google Maps data is only used when a passenger is in the car, not when the driver is being dispatched to you (due to a licensing issue).
The issue isn't about missing roads. Most problematic are missing places when searching by business name or wrong/missing address numbers. (I work in the industry) Pelias project helps a lot, but there's still more data + software work to be done.
This is quite the understatement. I used to work for a company selling a personal safety device that paired with your phone and the data we would get back for location on some Android phones was just atrocious. On a large number of older Pixel devices, we’d routinely see location off by a large margin (as in over a mile in the worst cases). Interestingly, we’d see the “real” user location provided with a location accuracy of 100-400ft, then the device would radically jump to a new location (again, sometimes over a mile away) with a location accuracy of <50ft. When you are dispatching help to a person in an emergency, exact location matters!