One thing I haven’t seen much discussion of is the value of the data that fleets of these cars are going to throw off.
It’s possible that the value of this data could subsidise ride costs. They basically become a ubiquitous street level surveillance system and for this to be effective you want a lot of them driving around.
Some examples:
Detailed local weather mapping.
Potential for near real time street view.
Very detailed sensing of traffic flows and trends, can also estimate pedestrian traffic.
Could use the sensors to track non self driving cars by alpnr. Locate stolen or wanted vehicles.
Automated reporting of traffic infringements, dangerous driving or accidents.
Can estimate patronage of almost any business, via rides to destination, counting carparks, local foot traffic etc.
Can sell data on infrastructure conditions (pothole location, missing signs, etc) to cities.
Lots of other detailed profiling on riders, consumers, businesses. For example can automatically distinguish between blue collar bars and cocktail lounges.
Almost certainly lots lots more I couldn’t imagine. It’s the data!