FenwayResident
Active Member
- Joined
- Jul 17, 2013
- Messages
- 760
- Reaction score
- 3
Yeah highways are easy enough. Most drivers are on mental autopilot anyway, and a computer could do that just as well, plus react better at braking.
Except when a plastic bag flies by....
Ahem.
Again I point to my hybrid/electric car example. The basics are there. The product launched 15 years ago. But its a miniscule portion of the market because price and range havent been solved yet. And those are pretty damn serious problems, even though tons of money and thousands of very smart people are working on them every day.
And as great as Tesla is, 200 mile range wont cut it for most people, and even the $30,000 they keep promising is still way out of reach for most people (and keeps getting delayed...)
Even if we get a 500 mile electric car at $20,000 in 10 years, it would have been 25 years of real commercial experimentation (never mind another 2 decades of lab work) to even get the car to become a majority of new sales, and another 10 years to become a majority of the fleet.
These things take time.
Why not start with giving the MBTA self-driving trains?
This analogy doesn't hold since hybrid/electric cars have a hardware issue, while self-driving cars have a software issue.
Hybrid/electric cars are running against the laws of physics. There is only so much energy density you can pack into a battery before it spontaneously combusts. The marginal return on battery life decreases as energy density goes up (barring any sort of game-changing technological advancement).
There are some issues with self-driving cars' hardware, such as sensing stop lights when the sun is directly behind the light. However the main obstacle to overcome is how the car should react when something complex/unknown happens.