This is my first car. I bought it when I graduated.
It had two previous owners, whom I contacted when I restored it.
One, an elderly lady, said:
'Oh, my Peugeot. I made my first child in that car.' First thing she said.
You can restore a car like this. It has five cables to the front and three to the back.
It is all much easier.
All the spare parts are still available.
You see this car a lot in Africa, where they make spare parts.
It's just very basic. A modern car has so many wires.
Removing one thing will affect something else. You can't just replace something.
It needs to be treated a certain way or it won't start.
You press the accelerator six times, pull the choke out, and then start it.
It's not practical, but it has character.
If you're in a hurry, there are better options.
The number of 18-year-olds who want a car or a driving license...
...is declining, according to research.
The trend is strongest in Japan, and in the US.
In Europe it's also a clear trend, but weaker.
A car meant freedom, and it still does if you don't live in a city.
You need a car to attain that freedom.
In cities, and young people are moving to cities, cars reduce your freedom.
You need to park it somewhere. Having a car in a city is expensive.
So young people might still use cars, but don't feel the need to own one.
Also, young people want to be online.
That's hard in a car and much easier in public transport.
Adults have realised it's easier to work on a train than in a car.
Working used to be making phone calls but that has changed.
So that group too would rather use other modes of transport.
Honda saw that trend too, Japan is ahead of us.
Young people were giving up on cars, so they designed cool cars...
...with racks for surf boards, and various other things.
It was a huge success among older people.
So they're trying, but it's part of a much bigger trend: the digital age.
Cars have become computers on wheels. It's no longer a mechanical marvel.
Take the computing power of cars today.
The new Mercedes S-Class has 200 million lines of code.
That's 100 times more than a Boeing 747.
It has 70 computers.
It's one big data machine, a high-tech system on wheels.
Mercedes said: The reason we still have wheels...
...is to prevent the computers from dragging along the street.
Why did you want this car? - It's the first car...
...that makes people want to go electric.
A fantastic car.
Fantastic, yes.
It holds the road well, because the batteries are placed so low.
The entire dashboard has two buttons: hazard lights and the glove compartment.
All the rest is done through a touchscreen. It's surprisingly well made.
It's very intuitive.
In the area around Eindhoven there are a lot of tests with new cars.
Connected cars, that talk with each other, and cars that are partly autonomous.
We're going to have a look.
Faster.
Don't go too fast.
Floor it.
This is more fun.
These three cars are partly autonomous.
They can follow lines and other cars, and keep a safe distance.
But they also communicate, they're connected vehicles.
If the first car brakes, that information is shared with the other cars...
...so they can keep a close distance.
It works with three cars or twenty.
When you know what the other car is doing...
...many functions can be left to the car.
The second and third cars aren't using their throttle or brakes.
The cars screen their surroundings, they have eyes and ears...
...in the form of radar and cameras, so they know what to do.
Now we're adding self-driving capabilities.
They have it, to a limited extent...
...so they can follow the other car, even in corners.
More and more functions are thus being taken over by cars.
Some of the functions of completely autonomous cars...
...can already be seen here, which makes traffic safer and more efficient.
Having cars keep a close distance will solve congestion.
The shock waves that lead to traffic jams can be prevented.
That would already improve traffic, but they can't yet drive autonomously.
But we're going in that direction.
It thinks the speed difference is too big.
You haven't touched the throttle? - No, I haven't.
It just keeps going. Everyone would save fuel.
The transport industry is very interested in that.
Automated braking for lorries comes into effect in 2015.
It will prevent a lot of nasty accidents.
Floor it after this corner.
There we go.
Look at that.
It's funny, but when it brakes you don't feel unsafe.
Yes, it's no longer braking nervously.
Turn the steering on too. Let's see how that works.
Automated steering. Fully autonomous.
Autonomous. All I need is a newspaper and some coffee.
Well, you're still responsible. - That's true.
You start to trust it when it works. You lose focus.
The big difference between current and future cars will be software.
That means developments in the auto industry are accelerating.
Everything with electronics develops exponentially.
Computer memory and speeds...
...according to Moore's Law, double every year.
So every year a memory card becomes 50% cheaper. Exponential growth.
It's very different from the linear growth pattern of the auto industry.
The talent you need is here, in Silicon Valley.
This is our research facility.
These are the cars we're working on.
This is our autonomous vehicle development car...
...that we use to write and test our software.
This is the car that will soon drive around Silicon Valley.
A car manufacturer is not a software company.
And manufacturing a car...
...and making software...
...is not an easy problem.
The digitalisation of society is leading to more services...
...and less physical products.
And that's something car manufacturers have to engage.
Maintaining a safe driving distance is relatively easy.
Driving along canals in Amsterdam, and passing someone with 10 cm to spare...
...people can do that, because we know if someone heard us coming.
But for an autonomous vehicle, that'd be an enormous challenge.
The hardest things for autonomous vehicles...
...are the things humans are very good at.
You're driving along and see someone on the pavement.
You can assess whether they've seen you.
Or you think: They haven't seen me, but want to cross.
Or when you see a ball bouncing into the street...
...you think: A child might come after it. These are difficult matters...
...that we decide and assess almost subconsciously.
Those are the big challenges ahead.
I own a car. An Audi A3, a small, relatively high-end car.
There it is.
Most of the time it's parked outside. Empty, idle.
And for some time I'd been looking to share my ownership of the car.
Then I found Snappcar.
They're the intermediary between me and someone who happens to need a car.
Hi, Walter. How are you?
Good. Let me get the papers.
Users mostly live within walking distance or a five-minute bike ride.
We go through a checklist. It's parked there.
I mostly do it to cover my expenses.
So that I can keep my car, without it costing me too much.
These papers are yours.
If you let someone else drive your car, you have to let it go.
It's nothing more than an object to be used.
I had a car until several years ago, but I got rid of it...
...because of high maintenance costs.
I decided to look for an alternative.
Car rental, public transport, and finally Snappcar.
To rent a car you often need to go to some industrial estate in The Hague.
But with Snappcar cars are located around my neighbourhood.
I think car ownership will decline...
...because people will realise how expensive it is to own a car.
And all the possible additional costs.
In cities people will increasingly choose to go by public transport...
...and to share cars.
If you have an explicit demand for and supply of transport...
...self-organising systems will then seize on that development.
Villages often need to be connected by public transport.
But say there are three elderly people who want to go to the city...
...who are not constrained by a certain time schedule.
Someone else, who is going to town, could then take them and earn 10 euros.
A self-organising system that matches the demand for and supply of transport.
And that's a hallmark of the internet and IT.
That's what Big Data is about, matching supply and demand.
On the one hand, Big Data comes from cars with sensors...
...giving them information about traffic.
On the other hand you need data from the demand side, where people are.
Nowadays people share their schedules, preferences and plans...
...which again generates data.
And computer predictions based on that data are becoming more accurate.
All those systems and activities generate data.
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