https://www.npr.org/2018/12/10/675254096/the-revolution-will-be-driverless-autonomous-cars-usher-in-big-changes
The Revolution Will Be Driverless: Autonomous Cars Usher In Big Changes
December 10, 2018  Terry Gross  Fresh Air

[image  
https://media.npr.org/assets/img/2018/12/10/gettyimages-1065947436_wide-2e451d9a1f4802083ac5f998d71449a3c6a9afd8-s800-c85.jpg
The BMW Vision iNEXT autonomous electric car is previewed at a special event
ahead of the LA Auto Show on Nov. 27  / 
Robyn Beck/AFP/Getty Images


audio
https://ondemand.npr.org/anon.npr-mp3/npr/fa/2018/12/20181210_fa_01.mp3
]

Imagine driving alone in your car, but instead of sitting behind the wheel,
you're dozing in the backseat as a computer navigates on your behalf. It
sounds wild, but former New York City Traffic Commissioner Sam Schwartz says
that scenario isn't so far off the mark.

"I was a New York City cab driver back in 1968, and I watched transportation
evolve over time. I have never seen anything as rapid as what has happened
this decade," Schwartz says. "Autonomous vehicles are coming."

While Schwartz doesn't know exactly what the autonomous vehicle of the
future will look like, he notes that it may not look anything like today's
cars. It might not have a steering wheel or brakes, he says: "It could be a
room any size; it could be a conference room."

Beyond aesthetic differences, Schwartz predicts that driverless cars will
transform roads, job and economies. He notes that while repair shops,
trucking companies and car dealerships may lose business, other industries —
including the advertising industry — stand to flourish with a captive,
backseat audience.
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Schwartz examines the benefits and drawbacks of driverless cars in the book
No One at the Wheel.
Interview highlights

On how driverless cars might look different from the cars of today

There's no reason to think [a driverless car is] going to look like a car,
other than that's what we're used to.

I liken this a bit to the cellphone. In 1982, I was traffic commissioner. I
had one of the first cellphones that I could use during emergencies. And the
cellphone came — with a man carrying it — on a 12-volt battery and this huge
phone. And today, the cellphone of today doesn't look anything like the
cellphone that I had in 1982. ... The same thing can happen with cars. ...
There's no reason to think it's going to look like a car, other than that's
what we're used to.

On the broader impact of autonomous vehicles

I think everybody is expecting fewer drivers, and that's no surprise. But it
also means that there are probably going to be fewer repair shops. ... AVs
lend themselves to fleet operations, especially if they're going to be
offering rides, as opposed to selling maximum vehicles, so car dealerships
may disappear.

So this is going to have wide impacts. Truckers, of course, are going to be
impacted. ... But lots of industries will be affected. The insurance
industry, certainly, will be affected, since we will have fewer crashes, and
about a third of the insurance industry is based on crashes. And if we have
fewer crashes, there are going to be fewer cases in court. There'll be less
of a burden on the court system.

On automated safety features that exist in today's cars

I have a car, a 2017 Volvo, that will stop on its own if I'm not paying
attention and about to rear-end another car. There are features that will
let me know if I am leaving the lane. The car itself will tug and tell me
that I'm crossing a lane. And so if I'm drowsy, if I'm not paying attention
or if I had too much to drink — which I would never do — I would know that.
I know that there's a warning if there's a car in my blind spot and I'm
trying to change lanes.

On the safety record of autonomous vehicles

This is really an industry that has tons and tons of data, but they're not
sharing it with the public. The only data that's accessible is [from] the
state of California, which is reporting anytime there is a crash when a
vehicle is in autonomous mode, and so far the results are not good.

So far, we know of three deaths and not because of any [industry] reporting.
That's the media reporting of three deaths [related to cars driving] in
autonomous mode. For conventional cars, that would take 260 million miles
before that would occur. And here we have three deaths and AVs have driven
maybe 10 or 15 million miles.

Walmart To Test Self-Driving Cars For Grocery Pickup Service [
https://www.npr.org/2018/07/25/632257414/walmart-to-test-self-driving-cars-for-grocery-pickup-service
]

In California, which requires the reporting of crashes, the cars in
autonomous mode are crashing nine or 10 times more often than the
conventional cars. Will they solve a lot of that? Yes, they're going to.
They could solve a lot of the safety problems in the next few years.
Everybody could have automatic braking. Everybody could have a lane control
protections and could have blind spot monitoring and other safety features.

On the difficulty autonomous vehicles have recognizing people and predicting
human behavior

So far, the track record is not very good with autonomous vehicles. They
can't figure out what a pedestrian is or [what] a pedestrian is going to do.
They can't separate a child from a dog. Sometimes a tree branch overhanging
the road will be taken as something in the way. So, you know, we're far from
[perfect]. They work perfectly without human beings, without people [when]
there's nothing in the roadway that's getting in their way. ...

There are times that they'll have a false reading or they will still say, "I
think this is a person," and this is what happened with the Uber crash in
Tempe, Ariz., that killed a woman. The woman was walking with a bicycle. So
you would think a) it would recognize the woman and 2), it would also
recognize a bicycle. But the system said, "I'm not sure what this is; it
doesn't look right to me. So I don't want to stop suddenly because that also
contributes to crashes. I'm going to plow right ahead." And it plowed right
ahead and killed her.

Therese Madden and Thea Chaloner produced and edited the audio of this
interview. Bridget Bentz, Molly Seavy-Nesper and Meghan Sullivan adapted it
for the Web.
[© npr.org]
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