It's easy to play out the use cases and see why Uber is investing in this area and why it feels threatened by this technology advance.
It's easy to play out the use cases and see why Uber is investing in this area and why it feels threatened by this technology advance.
[1] - https://www.yahoo.com/autos/s/uber-ceo-tesla-sell-half-milli...
http://techcrunch.com/2013/08/22/google-ventures-puts-258m-i...
Note how easy it'll be for Google to flip the "Uber" provider in Google Maps to their own service.
Longer term, a majority of people have self-driving cars. If I live in the suburbs, I either keep it all to myself, or loan it out when I'm not using it. If I live in the city, then I likely don't own a car - but instead call on a car as I need to. These probably come from both individual lending their car, and from groups/companies that are setup as a service.
Either way, these cars are likely to be network agnostic - meaning they'll lend themselves out to Uber, Lyft - whoever. So while costs will go down, it could lead to a big margin compression. Meanwhile, the arms seller (Google, whoever) makes money on each car being sold.
Makes sense, therefore, for Uber to continue to focus on capturing the market - their installed consumer base (and their brand) is their strongest asset going forward.
Many of us like the idea, I also talk about it to some people, surprisingly they have no knowledge of the SDV projects (Google or other), even driving instructors. So far it adds to the trust and legal issues, public awareness seem quite slow for such a thing.
How is the car going to park itself? The grandparent's point was about how annoying trying to find a parking space is.
Can self-driving cars parallel park yet?
Can they detect a strip where parking is only allowed between 9-4 and it's 4:30? Can they detect fire lanes?
EDIT:
Also, are these automated taxis really going to be more affordable than owning your own car? Taxis are incredibly expensive today. Sure you save a lot of money when you don't have to pay a driver, but is it really enough to make car ownership undesirable?
Non-completely-self-driving cars can do that:
https://www.youtube.com/watch?v=u-rxJkVzUxI
:)
> Can they detect a strip where parking is only allowed between 9-4 and it's 4:30? Can they detect fire lanes?
I don't have specific examples, but I know that it's possible to read signs easily, (as in you can write a program to do it yourself with no great techno-wizardry,) and I don't see any reason they couldn't use that data.
The logistics of parking go far beyond getting into the space. How does it pay the parking meter? How does it know if a parking lot is public or not, how does it pay for that? How does it know not to go into the unsafe neighborhood where wheels get stolen?
But realistically they are problems that won't be had, because in the near future (and probably in the far future as well) most people aren't going to buy their own personal self driving car because not only are they expensive, but it is pointless to have a personal car when it is way more convenient to offload responsibility for the car ownership to someone else.
Instead they will use an app to summon an automated taxi car owned by a corporate entity (Google, Uber, etc), and when they are at their destination that car isn't going to park, it is going to be off to pick up another passenger.
The car owner will have designated secure parking lots for overflow cars that aren't needed out on the roads during non peak hours. The cars would return to that designated lot when not needed.
Almost any initial solution is going to be imperfect, and is going to involve mistakes if you try to solve for the entire problem space. Usually, the way to address this is to solve a small subset of the problem. If you don't know how to pay for the parking in a particular place, don't park there. Things like that. You limit the problems that you have to address, and the lessons you learn while applying that technology and the infrastructure that develops around its use alters the difficulty of refining it to address other cases.
I can easily imagine the way that I would solve the parking problem, at least initially: Set it up so that the car can pay wirelessly and make it so that people who own parking spaces can add their carpark to a database as enabled for wireless payment. There are even systems which already exist that do something similar to this; toll roads, toll bridges, et cetera: you put a little device on the front of your car and that records your usage of the relevant infrastructure, which is then charged to your account.
Put a bunch of image recognition for parking signs in the car - good parking space usually follow fairly straightforward formats; I'm not sure whether the signage is defined in statute or regulation, but generally they're much alike. Do some simple correlations on whether the person actually indicates they want to park there to refine the algorithm....
Crime figures are publicly available, so you can hook into that database for avoiding bad areas...
And have a rule that says not to park somewhere if you're unsure.
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In the case of taxis, it's even easier: there are designated taxi ranks where they have to wait. And, considering there commercial enterprise, (there are two types of taxi regulation here, it's a bit weird,) you could rely on the taxi company to fill out a database themselves of other places that the car could wait - it's in their financial interest to do so.
This seems to be a point that is often missed. In denser cities--where utilization can be relatively high--drivers make maybe $15 per hour. (Maybe a bit higher when actually carrying passengers which is probably the relevant metric.) So it's not clear to me how these hypothetical vehicles are going to so revolutionize the way people get around by cutting costs by maybe $15/hour (ignoring other labor costs associated with cleaning or any incremental cost of the vehicle).
I don't know that the traffic would be much worse, because if you assume that a significant number of cars are self driving, then you eliminate many of the problems in terms of traffic flow that come from a human driver: maintaining a constant speed and distance from the car in front, aggressive driving, counter-productive driving habits, tragedy of the commons issues. It is possible to use the roads far more efficiently than we currently are capable of as humans.
There's also the point that it doesn't really matter how bad the traffic on the roads is if the only majority of the things suffering that bad traffic don't have any people in them.
Gas and polution:
If you can tell your car to go somewhere else when you are not in it, then electric cars and out of city parking lots - things like that - become a lot more feasible. You no longer need the infrastructure to be right next to your office to make effective use of it.