Episode 2 How Safe are Britain's Roads?


Episode 2

Similar Content

Browse content similar to Episode 2. Check below for episodes and series from the same categories and more!

Transcript


LineFromTo

Last year, the number of people

0:00:020:00:04

killed on Britain's roads went up for the first time in years.

0:00:040:00:08

1,900 people died on them.

0:00:080:00:12

That's the equivalent of four London-to-Glasgow commuter trains

0:00:120:00:16

with every seat full.

0:00:160:00:18

And a further 23,000 were seriously injured.

0:00:180:00:21

That's enough seriously injured people

0:00:210:00:23

to fill the Albert Hall four times.

0:00:230:00:26

The total injured is far higher,

0:00:260:00:29

more than the population of Luton.

0:00:290:00:32

Is this number of casualties acceptable?

0:00:320:00:34

And what can be done to reduce it?

0:00:340:00:36

We've talked to the experts, the drivers and the survivors.

0:00:380:00:42

My boyfriend died on impact

0:00:420:00:43

cos his side of the car took the brunt of the head-on collision.

0:00:430:00:46

-And they all agree that by far...

-..the major contributory factor..

0:00:480:00:51

..in collisions on Britain's roads...

0:00:510:00:53

BOTH: ..is us, the British driver.

0:00:530:00:56

Almost all accidents involve human error, so what are we doing wrong?

0:00:560:01:00

He's watching documentaries on his laptop.

0:01:000:01:03

With access to a unique archive of crashes and near-misses,

0:01:040:01:07

we'll be seeing what can happen

0:01:070:01:09

when our obsession with our smartphones takes over.

0:01:090:01:13

And asking if our 24-hour culture

0:01:130:01:15

is inviting us to fall asleep at the wheel.

0:01:150:01:18

We'll discover which is the greatest threat - tiredness or drunkenness.

0:01:180:01:23

Whoa.

0:01:250:01:26

And setting up our own experiment to find out who is more dangerous.

0:01:260:01:30

Adolescents?

0:01:300:01:32

Or octogenarians?

0:01:340:01:36

And we'll be asking what we can we do about it.

0:01:360:01:39

If you took our cars away, our whole lives would change.

0:01:390:01:44

So if we are the problem, is technology the answer?

0:01:440:01:48

If we would remove the human,

0:01:480:01:50

there's a huge potential of making traffic safer.

0:01:500:01:53

Look at that!

0:01:530:01:54

And we'll be answering the most hotly debated question of them all.

0:01:560:02:00

Who are the best drivers?

0:02:000:02:01

Men?

0:02:010:02:03

Or women?

0:02:030:02:04

There are some females who could do with some better road skills.

0:02:040:02:07

Last week, we looked at roads and cars.

0:02:210:02:24

But with more than nine out of ten accidents involving human error,

0:02:240:02:27

tonight we'll be finding out the truth about us,

0:02:270:02:30

-the drivers.

-Why do we keep making catastrophic errors?

0:02:300:02:34

We'll be finding out who are the most dangerous drivers on our roads.

0:02:340:02:38

And discovering the incredible risks virtually all of us routinely take.

0:02:380:02:44

But we're going to start with

0:02:440:02:46

one of the things that distracts us the most. Our phones.

0:02:460:02:49

We've all seen people using their phone while they drive,

0:02:490:02:52

even though it's illegal.

0:02:520:02:55

So how dangerous IS using your phone at the wheel?

0:02:550:02:58

I'm going to find out what the experts have to say.

0:02:580:03:02

And I'm going spying.

0:03:020:03:03

It's a big old beast of a vehicle, isn't it?

0:03:140:03:17

It is. It's a right machine, it's a different world up in there.

0:03:170:03:20

Let's have a look.

0:03:200:03:21

-Where do you want me to sit?

-If you could sit in the middle for us.

0:03:210:03:24

PC Mick Eustis of the South Yorkshire Police has invited me

0:03:270:03:31

to take part in Operation Ophelia.

0:03:310:03:34

The idea is simple.

0:03:350:03:37

By travelling in an unmarked truck, not only are we undercover,

0:03:370:03:41

but we are also high enough to look down into cars

0:03:410:03:45

and straight into HGVs.

0:03:450:03:48

So we're going to spy on drivers

0:03:490:03:51

to see if they're doing anything in the privacy of their cars

0:03:510:03:54

which might contribute to a crash.

0:03:540:03:58

Of course, being a police operation,

0:03:580:04:01

there will be consequences for the drivers.

0:04:010:04:04

So in this car here, if we see any offences taking place on the road,

0:04:060:04:11

we've got this vehicle and actually another one ready to go.

0:04:110:04:16

We're just entering M18 northbound, we'll go hunting.

0:04:160:04:19

And the hunting is good.

0:04:190:04:22

There's no shortage of people using mobile phones.

0:04:220:04:26

We follow one driver for some time.

0:04:260:04:28

She's so wrapped up in her conversation, she hasn't noticed

0:04:280:04:31

the man filming her from the lorry or the two police cars behind her.

0:04:310:04:37

Still on the phone. Can quite clearly see.

0:04:370:04:41

She's now looking in her rear-view mirror at us.

0:04:410:04:44

She's having quite a joyous time, smiling.

0:04:440:04:46

She is, she's having a good conversation, isn't she?

0:04:460:04:49

She's the one to our left - can you get in behind her?

0:04:490:04:52

Yankee Romeo One Two Uniform Oscar Echo.

0:04:520:04:54

Her phone call ended

0:04:540:04:55

with the likelihood of a £60 fine and three points.

0:04:550:05:00

So how many accidents do mobile phones really cause?

0:05:030:05:07

I'm visiting the Transport Research Laboratory in Berkshire

0:05:110:05:15

for some facts and figures about mobile use and accidents.

0:05:150:05:18

So this is the ultimate research lab for drivers, basically.

0:05:220:05:27

You can find out how we behave,

0:05:270:05:30

why we behave in particular scenarios and situations.

0:05:300:05:34

That's right. We can set up scenarios in a safe way

0:05:340:05:37

where we can understand how different types of distraction

0:05:370:05:40

and impairment affect our ability to drive or ride safely.

0:05:400:05:43

'TRL have used their driving simulator to compare the effects

0:05:430:05:48

'of mobile phones and alcohol on our driving, with shocking results.

0:05:480:05:52

'Their work shows using a mobile phone

0:05:520:05:55

'whilst driving can slow your reaction time by up to 50%.'

0:05:550:05:59

Your brain is dealing with the complex task of driving.

0:06:010:06:03

You're having to maintain the speed of the vehicle,

0:06:030:06:06

the position of the vehicle.

0:06:060:06:08

To speak on a mobile phone as well

0:06:080:06:09

makes you much worse at all those things.

0:06:090:06:11

I'm seeing for myself just how dangerous it can be.

0:06:110:06:15

Back in South Yorkshire, we're following a car driving erratically.

0:06:150:06:19

He's still all over the road.

0:06:190:06:21

Yeah, he's looking, he is definitely doing something.

0:06:210:06:23

He's got the phone in his left hand.

0:06:230:06:26

Yeah, he's texting. Look at that.

0:06:260:06:28

'People do the same journey from work to home'

0:06:280:06:32

day in, day out, and think they're perfectly safe

0:06:320:06:35

being on the phone or texting, because they know the road.

0:06:350:06:38

A driver on a familiar journey,

0:06:380:06:40

having a conversation on a mobile phone,

0:06:400:06:42

might miss that one-off occasion

0:06:420:06:44

when someone has to brake suddenly in front of them.

0:06:440:06:46

We'll pull in behind you, but do you want to come past and stop him?

0:06:460:06:50

He's been texting doing 70 miles an hour on the motorway.

0:06:500:06:54

We've done studies that have shown when you're driving

0:06:540:06:56

and using a mobile phone, whether it's handheld or hands-free,

0:06:560:07:00

that impairment is worse than being at the legal limit of alcohol.

0:07:000:07:02

When someone's involved in a collision and they've been on their

0:07:020:07:05

mobile phone, invariably there's fatality or serious injury involved.

0:07:050:07:08

Mick believes phones are so dangerous,

0:07:080:07:11

the penalties for using them at the wheel should be increased.

0:07:110:07:14

The fine at the moment is a £60 fine and three points.

0:07:140:07:18

Personally I think it should be the same as what it is

0:07:180:07:21

if you're driving without insurance, which is £200 and six points.

0:07:210:07:24

'The government is currently considering

0:07:240:07:27

'raising the penalty to £90 and three penalty points.

0:07:270:07:31

'But if phones are bad, wait till you see

0:07:310:07:34

'what other dangerous habits some drivers have.

0:07:340:07:37

'From our vantage point, we can look straight into the cabs

0:07:370:07:41

'of the biggest lorries.'

0:07:410:07:43

-He's got a laptop, he's got a laptop open.

-Yeah.

0:07:430:07:47

We can't see whether the laptop's on, but that's a classic.

0:07:500:07:54

He's got the laptop open, as you can see it's facing towards him.

0:07:540:07:57

Can't quite see whether there's anything on it at the moment.

0:07:590:08:02

-That very much looks like it's set up for...

-Absolutely.

0:08:020:08:05

He's got his entertainment going there, it's plugged in.

0:08:070:08:09

'One in eight deaths on the road last year were due to crashes

0:08:120:08:15

'involving lorries.

0:08:150:08:17

'As were over 1,000 serious injuries.

0:08:170:08:20

'Foreign-registered lorries

0:08:200:08:21

'with the wheel on the wrong side of the vehicle

0:08:210:08:24

'are involved in twice as many serious accidents

0:08:240:08:27

'as British lorries.'

0:08:270:08:28

Right, so this guy, we drove past him,

0:08:290:08:32

he had the laptop open on the dashboard,

0:08:320:08:34

appeared to be watching a movie,

0:08:340:08:36

caught sight of us and closed the laptop.

0:08:360:08:39

So what I'm quite intrigued to find out

0:08:390:08:41

is what he was actually doing with it. So let's see if we can, er...

0:08:410:08:44

Cos what's really staggering is the kind of things that people do

0:08:440:08:47

when they're driving - phones, feet up on the dashboard,

0:08:470:08:50

saw a woman doing her makeup earlier.

0:08:500:08:52

It is extraordinary what people think they can get away with.

0:08:520:08:55

Let's see if he speaks English.

0:08:550:08:57

He's been watching National Geographic.

0:08:570:08:59

He's been watching National...?

0:08:590:09:01

A film on National Geographic. On his laptop.

0:09:010:09:04

What was the movie, National Geographic?

0:09:040:09:07

Or a documentary?

0:09:070:09:08

'This Hungarian driver will be charged

0:09:080:09:11

'with driving without due care and attention.

0:09:110:09:13

'And he'll have to pay a £300 roadside deposit

0:09:130:09:17

'in case he doesn't turn up for the hearing.'

0:09:170:09:20

Gang war.

0:09:200:09:22

Gang war...

0:09:240:09:25

He's driving at 60 miles an hour with 25 tons on the back

0:09:260:09:30

of his truck and he says, "Well, you know, it gets a bit boring

0:09:300:09:34

"after a few hours." And I'm sure it does, but imagine the consequences

0:09:340:09:37

if he had an accident in that, going at that speed?

0:09:370:09:41

I mean, it would be an absolute disaster.

0:09:410:09:43

At the Transport Research Laboratory, they don't have to

0:09:460:09:50

just imagine the consequences of a serious accident.

0:09:500:09:53

Here's a classic crash scenario.

0:09:540:09:57

Traffic has come to a halt, maybe on a motorway slip road.

0:09:570:10:02

A lorry carrying a third of the payload of the one that we stopped

0:10:020:10:06

is doing 50 miles an hour and wanders out of lane,

0:10:060:10:09

perhaps because the driver is watching

0:10:090:10:12

a particularly engrossing movie.

0:10:120:10:14

The lorry collides with the line of cars.

0:10:140:10:17

With such catastrophic consequences,

0:10:350:10:37

what can be done to make the drivers of these vehicles safer?

0:10:370:10:41

'One answer could be this little device.

0:10:430:10:46

'It's becoming increasingly popular with commercial fleets

0:10:460:10:49

'around the world, and we have been road-testing it.'

0:10:490:10:53

'DriveCam films all our mistakes.

0:10:530:10:56

'If we brake, accelerate or corner too fast, it sends video

0:10:560:11:00

'over the mobile phone network back to HQ.'

0:11:000:11:02

Installed in 400,000 vehicles worldwide,

0:11:040:11:07

DriveCam is creating an extraordinary archive

0:11:070:11:10

of crashes and near-misses,

0:11:100:11:12

helping us understand what really happens when things go wrong.

0:11:120:11:16

SHE SCREAMS

0:11:160:11:19

Oh, my God!

0:11:190:11:20

Could you please let me out?

0:11:210:11:23

Please let me out.

0:11:230:11:24

What types of things are you capturing people doing?

0:11:260:11:28

What are the habits that people have?

0:11:280:11:30

You know, it's really all over the map.

0:11:300:11:32

You can see the sequence,

0:11:320:11:33

but you can also see the pattern.

0:11:330:11:35

Some people habitually will roll a stop sign.

0:11:350:11:38

They'll pull up and they think, "Oh, I stopped,"

0:11:380:11:41

and then you'll see, over the course of a week or a month,

0:11:410:11:44

ten times they thought they were stopping.

0:11:440:11:46

And meanwhile, you watch when they thought they stopped,

0:11:460:11:49

a lorry runs right through the intersection

0:11:490:11:51

and they almost get sideswiped.

0:11:510:11:52

For the first time, we're able to see the near-misses.

0:11:520:11:56

There are reckoned to be ten of them for every collision.

0:11:560:11:59

I want to see what DriveCam have caught of people on their phones.

0:11:590:12:03

He's texting away.

0:12:050:12:07

I'm looking at him but I'm going to...ooh! Ooh!

0:12:100:12:13

Brake! Oh, oh...

0:12:130:12:15

Yeah, so in our world,

0:12:150:12:18

when we analyse that video, we see two things.

0:12:180:12:20

We see certainly he was texting,

0:12:200:12:22

but it wasn't just the fact that he was texting.

0:12:220:12:24

-Did you see what his eyes and his head were doing?

-Yeah.

0:12:240:12:27

We'll stop right there.

0:12:270:12:29

So head and eyes down.

0:12:290:12:30

-He's in a neighbourhood. Kids playing.

-I know.

0:12:300:12:33

And he's really close

0:12:330:12:35

-to that car in front of him.

-Absolutely.

0:12:350:12:37

People do that all the time.

0:12:370:12:38

They think they know what they're doing.

0:12:380:12:40

"Oh, yeah, got my eye on the car in front,

0:12:400:12:42

-"It's fine, I'll just send this text."

-Absolutely.

0:12:420:12:44

That could have been worse than it was.

0:12:440:12:46

But sometimes that moment's distraction can be disastrous.

0:12:460:12:50

These videos are released by those involved

0:12:550:12:58

when no-one was seriously injured.

0:12:580:12:59

They can be an eye-opener on the causes of accidents.

0:12:590:13:02

But right now, this technology is in very few vehicles here.

0:13:050:13:08

All the information about an accident

0:13:080:13:10

is gathered after the event by hand.

0:13:100:13:14

At the scene of all collisions,

0:13:140:13:16

the British police fill in a form called Stats 19.

0:13:160:13:20

They look for contributory factors to the accident

0:13:200:13:23

and can tick up to six boxes.

0:13:230:13:26

The options include things like

0:13:260:13:28

poor road surface or mobile phone use.

0:13:280:13:30

These forms become the basis for the accident statistics

0:13:300:13:35

and by far the most common factor is, "Failed to look properly."

0:13:350:13:40

It contributes to nearly half of all accidents.

0:13:400:13:45

But accidents rarely have a single cause.

0:13:450:13:48

Almost always, a number of factors come together.

0:13:480:13:52

Like in this situation.

0:13:540:13:56

Distracted by the stereo... STEREO BLASTS

0:13:560:13:59

..together with another driver not paying attention...

0:13:590:14:02

..and no seat belt.

0:14:040:14:06

So being distracted when you're in a demanding situation

0:14:060:14:10

will hugely increase your chances of a crash.

0:14:100:14:13

But how about if your driving ability is lowered or impaired?

0:14:130:14:18

That could be because you are ill or disabled,

0:14:180:14:20

because you're tired, or because you've been taking drugs.

0:14:200:14:24

But top of the list of reasons recorded

0:14:240:14:26

for a driver's ability being impaired

0:14:260:14:30

is because they've been drinking.

0:14:300:14:32

Now it's my turn to go out with Mick.

0:14:320:14:34

We're going to see if we can get a first-hand look at an accident

0:14:340:14:38

involving an impaired driver.

0:14:380:14:40

Dispatch, whereabouts did that happen?

0:14:420:14:44

There's been a fail to stop.

0:14:530:14:54

It's a drunk driver, driven off from the police

0:14:540:14:57

and he's crashed his car.

0:14:570:14:59

SIREN BLARES

0:14:590:15:02

It's an incident involving

0:15:070:15:08

this vehicle just up here in front of the police car.

0:15:080:15:10

I believe it's been seen by a police vehicle in Doncaster.

0:15:100:15:14

It's tried to stop the vehicle and it's driven off at speed.

0:15:140:15:17

The vehicle's come down this road opposite,

0:15:170:15:19

the driver's obviously come straight on, as you can see,

0:15:190:15:22

where he's collided with the fence.

0:15:220:15:25

So he's been arrested, taken to the police station

0:15:250:15:27

and at the police station he'll give some more breath samples.

0:15:270:15:30

Later, he'll be prosecuted for several offences,

0:15:300:15:33

including drink-driving and driving without insurance.

0:15:330:15:36

How common is this kind of accident?

0:15:360:15:39

In terms of these minor collisions where people have had a drink,

0:15:390:15:43

quite regular.

0:15:430:15:44

-Had there been anyone coming...

-Yeah, that would be really serious.

0:15:440:15:47

..could be a pedal cyclist, it's people going home at this time.

0:15:470:15:50

If he'd hit them, then we'd be looking at a fatality or something.

0:15:500:15:54

Numerous campaigns have helped

0:15:540:15:57

to halve drink-drive casualties in ten years.

0:15:570:16:03

Sir, would you mind stepping out of the car and doing a breath test?

0:16:030:16:06

Look, you had two pints, you're over the limit,

0:16:060:16:08

that's a twelve-month ban and a criminal record.

0:16:080:16:10

But a newer target is something most drivers admit they've done.

0:16:100:16:14

Driving when tired.

0:16:140:16:16

If you fall asleep at the wheel, you'll put your life in danger.

0:16:170:16:20

Many of us have struggled to stay awake.

0:16:200:16:23

I literally felt like I'd closed my eyes for about five seconds,

0:16:230:16:27

but my car swerved. It kind of shook me up.

0:16:270:16:30

I just was falling asleep.

0:16:300:16:33

I had to keep slapping myself in the face to stay awake.

0:16:330:16:36

The wheels kind of went over the cats-eyes a bit

0:16:360:16:39

and kind of jolted me, and that's when I thought,

0:16:390:16:41

"Right, I've got to pull off now."

0:16:410:16:43

I hit the edge of the road, the hard shoulder,

0:16:430:16:45

and I woke up instantly.

0:16:450:16:47

Suddenly, you come to,

0:16:470:16:48

and you're very acutely aware that you are driving a car.

0:16:480:16:52

Transport officials estimate tiredness may be a factor

0:16:530:16:57

in as many much as 20% of all accidents.

0:16:570:17:00

But of course, it isn't illegal to drive when you're a little tired,

0:17:000:17:04

or, for that matter, when you're below the alcohol limit.

0:17:040:17:08

We are going to look at some everyday situations.

0:17:080:17:11

We're going to compare the effects of tiredness and alcohol.

0:17:110:17:15

So, not over the limit, but a bit tipsy.

0:17:150:17:17

Not staying up all night, just a few hours sleep.

0:17:170:17:21

Maybe you've had a couple of drinks after work.

0:17:210:17:23

The sort of thing every new parent might recognise.

0:17:230:17:26

So how dangerous is that, really?

0:17:260:17:29

We're in Nottingham.

0:17:310:17:32

Tomorrow we're heading for the driving simulator

0:17:320:17:34

at the university's Accident Research Centre.

0:17:340:17:36

And while Justin's tucked up in bed, I've been sleep-deprived.

0:17:360:17:41

Check out my PJs!

0:17:410:17:43

See you in three hours.

0:17:430:17:44

I'll tell you something for nothing.

0:17:470:17:49

Three hours is NOT enough sleep!

0:17:490:17:54

SHE GROANS

0:17:540:17:56

Are you feeling tired?

0:17:580:18:00

This is brilliant!

0:18:000:18:01

-I think this might be it.

-Is this it?

0:18:010:18:03

That looks really high-tech, doesn't it?

0:18:030:18:05

Like Joe 90 or something!

0:18:050:18:07

-Yeah, it's...

-Get in the pod!

0:18:070:18:09

'Dr David Crundall studies risky behaviour amongst drivers.

0:18:090:18:12

'He will be testing us.'

0:18:120:18:15

-Pleased to meet you, David. Anita.

-I'm Justin, very good to meet you.

0:18:150:18:18

-I've had three hours' sleep.

-Fabulous!

0:18:180:18:21

-You're looking very good on it!

-I feel OK, actually.

0:18:210:18:23

She seems very lively. Doesn't seem to have affected you at all.

0:18:230:18:26

Would you drive to work like this quite happily?

0:18:260:18:29

Yeah, if I had to, I would. I'm being honest. I would do.

0:18:290:18:32

After three hours' sleep, feeling like this, I'd get up and drive.

0:18:320:18:35

Maybe we can see if that really is the case.

0:18:350:18:37

-If that's a wise thing to do.

-Yeah.

0:18:370:18:39

And I get to have a drink and watch you!

0:18:390:18:40

-That's not so bad, is it?!

-Yeah, he's drinking on the job!

0:18:400:18:43

Dearie me! That doesn't sound like work!

0:18:430:18:45

It doesn't sound like work.

0:18:450:18:47

So we get to test the alcohol issue as well.

0:18:470:18:49

-Yeah.

-Head to head.

0:18:490:18:50

Inside the dome is a complete car.

0:18:500:18:54

Justin's the first on the road.

0:18:540:18:56

He gets a go totally sober,

0:18:560:18:58

so that we can compare his driving later.

0:18:580:19:02

It looks great. It looks really space-age!

0:19:020:19:04

So facing straight ahead,

0:19:040:19:07

and now follow the white dot on the screen, please.

0:19:070:19:10

The system will monitor our eyes to see where we're looking on the road,

0:19:100:19:13

and judge whether our vision is affected.

0:19:130:19:16

If you're looking in the right place,

0:19:160:19:18

you're processing what you're looking at,

0:19:180:19:20

-then you're less likely to have crashes.

-Right.

0:19:200:19:23

# I'm on the road again Na-na-na... #

0:19:230:19:25

Oh, here we go. Yay!

0:19:250:19:28

I'm staying in the hard shoulder for the moment, while I get used to it.

0:19:280:19:32

We want you to really get a feel for the way the car drives,

0:19:320:19:35

the way the car handles.

0:19:350:19:37

You have managed, however, to already exceed the speed limit.

0:19:370:19:41

Oh, really? I'm only going 60, mate!

0:19:410:19:43

-He's quite safe, isn't he? He's doing OK?

-Yep.

0:19:430:19:45

What we can take from this at the moment

0:19:450:19:47

is he's actually dealing very, very well

0:19:470:19:49

with the simulated virtual environment here.

0:19:490:19:51

-Right, so if you'd just like to go straight up.

-I'm really tired.

0:19:510:19:55

While I get settled into the simulator,

0:19:550:19:57

Justin's prepping for his test.

0:19:570:19:58

There we go. It's quite strong.

0:19:580:20:01

Maybe a little bit.

0:20:010:20:03

Wake up!

0:20:030:20:04

It doesn't feel right, you know.

0:20:060:20:08

Drinking in the laboratory.

0:20:080:20:10

'We're each doing a short drive,

0:20:100:20:12

'the sort of thing some of us might well attempt

0:20:120:20:15

'when feeling this tired.

0:20:150:20:17

'Can I drive normally for just 15 minutes?'

0:20:170:20:20

I'm having to really concentrate hard.

0:20:200:20:23

This is actually quite scary.

0:20:230:20:25

Her speed is round about 60mph.

0:20:250:20:28

Her steering is pretty central.

0:20:280:20:30

So can you tell any impairment now, looking at this?

0:20:300:20:33

There's a marked difference between how you were performing

0:20:330:20:37

when you were keeping lane maintenance,

0:20:370:20:38

compared to how Anita's doing right at the moment.

0:20:380:20:41

Oh, yeah. She's right on the edge of the lane.

0:20:410:20:43

So she is varying actually quite a bit there.

0:20:430:20:45

She's almost touching the hard shoulder there.

0:20:450:20:48

And this is, what? Eight minutes into her drive.

0:20:480:20:50

Yeah, it's not long, is it?

0:20:500:20:52

No, she's all over the place.

0:20:520:20:53

To use the technical term!

0:20:530:20:55

Oh, I hate this! It's horrible!

0:20:550:20:58

So I want to know how I did on just three hours sleep.

0:20:580:21:01

Literally, half an hour beforehand, you were saying,

0:21:010:21:05

"I don't feel any problem. I could drive like this."

0:21:050:21:07

So we're seeing these effects can come on very quickly,

0:21:070:21:10

and also the level of introspection drivers have

0:21:100:21:12

about their susceptibility to these effects...

0:21:120:21:15

How much they understand about their own abilities?

0:21:150:21:17

How likely they are to have these things

0:21:170:21:19

-are often underestimated.

-They have no idea.

0:21:190:21:21

We think we're better drivers than we actually are, basically?

0:21:210:21:24

Most people will claim that they are better than average, certainly.

0:21:240:21:27

Now it's my turn.

0:21:270:21:29

Just one more swig, and I am feeling tipsy.

0:21:290:21:32

But I'm still well under the legal limit of 35 on this breathalyser.

0:21:320:21:38

Britain and Malta have the highest limits in Europe.

0:21:380:21:41

Drinking ANY alcohol and driving

0:21:410:21:43

is against the law in some European countries.

0:21:430:21:46

Research suggests even small amounts can affect your ability.

0:21:460:21:50

So how safe am I?

0:21:500:21:51

So he's being very cautious right from the start.

0:21:510:21:54

We're seeing a 20mph drive.

0:21:540:21:56

Doesn't want to get caught.

0:21:560:21:59

I don't feel that drunk, but I do feel...

0:22:010:22:04

..a little bit disorientated.

0:22:050:22:07

There seems to be a lot going on.

0:22:070:22:09

I think he clipped the kerb there and that's sent him

0:22:120:22:16

-wiggling all over the place.

-Oh! Whoa!

0:22:160:22:19

Dear me! I was just thinking,

0:22:190:22:22

"I'm controlling this really well," when I hit the kerb there.

0:22:220:22:25

I don't feel completely in control of this.

0:22:260:22:29

There we go. He's admitting it himself.

0:22:290:22:31

Many people who are under the influence think

0:22:310:22:33

that they can actually control it,

0:22:330:22:35

that they can be cautious,

0:22:350:22:37

that they can avoid any particular hazard that's on the roadway.

0:22:370:22:40

There's a car hidden behind this bus that's going to pull out now.

0:22:400:22:43

Oh!

0:22:430:22:45

He braked in time.

0:22:460:22:47

Where are you off to?

0:22:470:22:49

You still showed errors of driving performance

0:22:490:22:52

which could have been problematic if you were on the real road.

0:22:520:22:57

And this is UNDER the legal limit.

0:22:570:23:00

You know, alcohol is a depressant.

0:23:000:23:03

Fatigue is obviously going to reduce attention,

0:23:030:23:07

and sometimes you can see very, very similar effects from the two.

0:23:070:23:11

So in terms of risk, how does tiredness compare with drinking?

0:23:110:23:17

Well, one recent study has shown that a three-hour nocturnal drive

0:23:170:23:22

with somebody who is fatigued

0:23:220:23:24

can be as risky as driving at the legal maximum.

0:23:240:23:28

Breathalysers and blood tests have proven effective

0:23:280:23:31

in the fight to cut drink-driving.

0:23:310:23:34

Tiredness may be harder to tackle.

0:23:340:23:36

Here we have a complex background.

0:23:450:23:48

For more than 30 years, Professor Frank McKenna

0:23:480:23:50

has studied traffic accidents.

0:23:500:23:52

He's one of Britain's leading experts.

0:23:520:23:55

The problem is, sleep is not optional.

0:23:550:23:58

When you deprive people of sleep,

0:23:580:24:01

then the one thing that is guaranteed to happen

0:24:010:24:04

is they will sleep. And the problem is,

0:24:040:24:08

are they at the wheel of a car while doing that sleep?

0:24:080:24:12

so we need to move away from this 24/7 notion

0:24:120:24:18

that we can treat sleep as optional. It's a biological phenomena

0:24:180:24:22

that's basic and it's necessary.

0:24:220:24:24

So many trucks parked up down there. It's enormous.

0:24:300:24:35

I'm meeting HGV driver Colin Wrighton, who knows first-hand

0:24:350:24:37

the possible consequences of fatigue and driving.

0:24:370:24:42

-REPORTER:

-An horrific pile up on the M62 near Liverpool.

0:24:420:24:45

The driver of the lorry had fallen asleep at the wheel.

0:24:450:24:48

He collided with a line of stationary traffic. At the front,

0:24:480:24:52

a Nissan Micra was crushed under a pick-up truck.

0:24:520:24:55

Six years ago, with Colin asleep,

0:24:550:24:57

his truck wandered onto the hard shoulder

0:24:570:25:00

and then ploughed into a queue of stationary traffic,

0:25:000:25:02

killing one of the car drivers, 25-year-old Toby Tweddell.

0:25:020:25:06

The first car had flipped, and where was Toby's car? Was that...?

0:25:090:25:12

I'm not sure where he was in the queue but he must have been

0:25:120:25:14

a bit further down, so I'm not sure what his car was.

0:25:140:25:19

And he was the only person to have died?

0:25:190:25:21

Yeah. I've had a lot of, er... a lot of, er, counselling over that

0:25:210:25:26

because it, you know, it's a hard thing to happen

0:25:260:25:28

because it's unfortunate that he passed away, so I...

0:25:280:25:34

I still think about it every day, and the family.

0:25:340:25:37

Colin wants to meet Toby's parents.

0:25:380:25:41

So far, they can't bear to face the man who killed their son.

0:25:410:25:44

But they do believe he's remorseful.

0:25:440:25:48

His accident wasn't a straightforward case of fatigue.

0:25:480:25:52

It's estimated that as many as 4% of men and 2% of women

0:25:520:25:57

suffer from a condition called sleep apnoea, largely undiagnosed.

0:25:570:26:01

It affects breathing at night,

0:26:010:26:03

and the sufferer won't be aware that they haven't slept properly,

0:26:030:26:07

meaning they can easily fall asleep during the day.

0:26:070:26:10

The only way I can explain it is if you've ever been on the motorway

0:26:100:26:14

and you've gone past something and you've thought to yourself,

0:26:140:26:18

"How did I get there?" You know?

0:26:180:26:21

That's what the sleep apnoea was like. I didn't know...

0:26:210:26:25

One minute you were there and the next minute...

0:26:250:26:27

But you don't feel tired, that's the thing about it.

0:26:270:26:29

Colin was never prosecuted for dangerous driving

0:26:310:26:33

because he'd already made three visits to his GP

0:26:330:26:36

complaining of chronic fatigue.

0:26:360:26:40

It's somebody's life that's gone

0:26:400:26:42

that didn't need to have gone, you know,

0:26:420:26:45

and I'm more annoyed at the doctors not picking up on it and saying

0:26:450:26:48

"we'll send you to a clinic, a sleep clinic,

0:26:480:26:50

"to somebody who knows about the sleep disorders."

0:26:500:26:53

And that's why a lot of doctors need to be aware of it now.

0:26:530:26:57

One estimate puts the number of HGV drivers

0:26:570:27:00

with a degree of sleep apnoea on our roads at nearly 140,000.

0:27:000:27:06

Colin is still driving trucks

0:27:060:27:08

because he's now considered safe as he is undergoing treatment.

0:27:080:27:11

He spends much of his time campaigning to raise awareness

0:27:110:27:14

amongst other drivers.

0:27:140:27:16

Sleep apnoea is a silent killer and people need to know more about it.

0:27:180:27:22

We've been looking at some of the key factors

0:27:240:27:27

which can make us more prone to crash.

0:27:270:27:30

But apart from these, statistics on collisions are broken down by sex

0:27:300:27:35

and age and looking this way can give us insight

0:27:350:27:38

into the risks presented by different groups of drivers.

0:27:380:27:42

So, let's start with that eternal question -

0:27:420:27:44

who are the better drivers, men or women?

0:27:440:27:48

Absolutely no contest whatsoever,

0:27:480:27:51

males are complete twats as drivers.

0:27:510:27:53

Females, I think they're the worst drivers in the world.

0:27:530:27:57

Watch out, I've got the handbag ready.

0:27:570:28:01

Females are better than me, to be honest,

0:28:010:28:03

especially at reversing. I crash into everything.

0:28:030:28:05

Men are more efficient when it comes to getting in tight spots

0:28:050:28:09

and getting out.

0:28:090:28:11

Yeah, you know the woman driver,

0:28:110:28:12

they are the more safer driver than the man driver.

0:28:120:28:15

I mean, my wife's just taken her 53rd lesson and on her third test.

0:28:150:28:20

Confused!

0:28:220:28:23

Since the early days of motoring

0:28:230:28:27

there have been strong stereotypes of male and female drivers.

0:28:270:28:30

I'm getting out. You can leave me here.

0:28:300:28:32

You're mad! We could be killed.

0:28:320:28:34

Could there be some truth behind the stereotype?

0:28:340:28:37

SCREECHING TYRES

0:28:370:28:39

This piece of research has really got me thinking. It looks into -

0:28:390:28:43

now this is a big one -

0:28:430:28:44

the differences between male and female drivers.

0:28:440:28:47

Not only do we drive differently, but according to this,

0:28:470:28:51

we also crash differently. Men have more accidents on bends,

0:28:510:28:55

but women have more right-turning accidents.

0:28:550:28:58

Men have more overtaking accidents

0:28:580:29:00

but women have more left-turning accidents.

0:29:000:29:03

So does that make the men worse or the women worse?

0:29:030:29:06

And why is there even a difference?

0:29:060:29:08

First up, women.

0:29:100:29:11

In Nottingham, Dr Crundall and his team of psychologists

0:29:130:29:17

are trying to get to the bottom of why women crash more at junctions.

0:29:170:29:21

We know that there are some things that men and women differ on.

0:29:220:29:26

Better or worse is perhaps the wrong term. We should say that there are

0:29:260:29:29

qualitative differences in people's abilities to do certain tasks

0:29:290:29:32

and that's just a function of the way the brain is made up

0:29:320:29:35

-in the different genders.

-You think we'll find real differences

0:29:350:29:38

between men and women?

0:29:380:29:39

Well, we know that some of the spatial tests we're using today

0:29:390:29:42

have found gender differences in the past. The question is

0:29:420:29:45

whether we can relate that back to driving differences.

0:29:450:29:48

-It'll be really interesting.

-That's going to be great.

0:29:480:29:50

-Let's look round.

-Sure.

-I'm quite intrigued by this.

0:29:500:29:53

The first test was to find out how long they've been driving,

0:29:530:29:56

how often they drive and how much of a liability they are

0:29:560:30:02

to the rest of us.

0:30:020:30:03

To further examine their driving ability

0:30:030:30:06

our volunteers will take part

0:30:060:30:08

in a hazard prediction test.

0:30:080:30:10

-Oh, spot the hazard?

-It goes black before the hazard occurs.

0:30:100:30:13

So she's got to try and predict what's going to happen,

0:30:130:30:16

as if you're driving.

0:30:160:30:17

Yeah.

0:30:200:30:22

So there you go, there was a hazard hidden in that video.

0:30:230:30:26

Have another go. Did you see the women being pushed?

0:30:260:30:32

Their driving skills assessed,

0:30:320:30:34

the team now hope to link those to their spatial ability.

0:30:340:30:38

That's the ability to judge what's going on around you,

0:30:380:30:40

how fast, and where.

0:30:400:30:44

Very important at junctions.

0:30:440:30:47

If you're good at this task then you have more resources,

0:30:470:30:49

if you like, to spend doing other stuff. If you're not so good

0:30:490:30:53

at rotating space, thinking about space, then you might have too much

0:30:530:30:56

going on at the same time and that could be why

0:30:560:30:58

you're more liable to make mistakes or have accidents

0:30:580:31:01

or do these kind of things.

0:31:010:31:03

These tests of spatial ability are already well established,

0:31:030:31:06

and men tend to do better at them.

0:31:060:31:08

I'd like you to place the arrow somewhere on the circle

0:31:080:31:11

in the direction where you think this landmark is.

0:31:110:31:13

So if the link to driving ability can be made, we may get closer

0:31:130:31:17

to understanding who is the better driver.

0:31:170:31:21

-That's the Playhouse there...

-Ah, yes.

0:31:210:31:24

Probably slightly more that way.

0:31:240:31:26

-What are you doing with this?

-Checking my compass.

0:31:260:31:29

You're not allowed to do that!

0:31:290:31:31

-He's got his compass out!

-It seemed like a good idea.

0:31:310:31:33

It is, but it's about kind of showing your skills accurately.

0:31:330:31:36

By the end of the day, the team have tested over 35 people.

0:31:360:31:39

So what have we found out about women drivers

0:31:400:31:44

and collisions at junctions?

0:31:440:31:46

Well, we started off with the idea

0:31:460:31:48

that spatial ability should be linked

0:31:480:31:51

to driving ability and that might explain why women have certain types

0:31:510:31:56

of accidents compared to men. It's just a one-day study.

0:31:560:31:58

There is some evidence there to link spatial ability with driving,

0:31:580:32:03

so we want to pursue that

0:32:030:32:04

and see if we can get those gender differences

0:32:040:32:08

further down the line with a larger sample.

0:32:080:32:10

So there are differences in the way men and women see the world

0:32:100:32:14

which can affect the way we drive and therefore the way we crash.

0:32:140:32:18

Men seem to be ahead at the moment, but what about their accidents?

0:32:180:32:22

Why do they run off the road more and have more head-on collisions?

0:32:220:32:25

Professor McKenna has studied this for years.

0:32:250:32:28

Males choose to drive faster,

0:32:300:32:31

they choose to drive closer to the vehicle in front,

0:32:310:32:35

they're more involved in driving violations and they're prepared

0:32:350:32:39

to drive for longer periods without a break.

0:32:390:32:42

It sounds like men take the bigger risks.

0:32:420:32:45

But we still don't have the answer to the fundamental question.

0:32:450:32:48

Which of us, statistically...

0:32:480:32:51

-Men or women...

-..are the better drivers?

0:32:510:32:54

On the simple criterion of being able to stay alive on the roads,

0:32:540:32:59

then we'd have to say that women are better drivers than men.

0:32:590:33:03

Women are below men, consistently, across all ages except 35 to 54

0:33:030:33:11

when the two groups meet.

0:33:110:33:13

But basically women have fewer fatal accidents than men.

0:33:130:33:16

And it's not just fatalities.

0:33:160:33:18

Overall, men have 62% of accidents. Even allowing for the extra miles

0:33:180:33:23

they drive, they are having seven accidents to every five women have.

0:33:230:33:27

So we are saying that women are better drivers than men.

0:33:290:33:35

But where are the differences we have observed coming from?

0:33:350:33:37

I've come to the Neuroscience Institute

0:33:370:33:41

at University College London, where they study men and women's brains

0:33:410:33:45

in relation to risky activity.

0:33:450:33:48

The interesting thing, looking at the raw data,

0:33:480:33:50

is it's completely contrary to most people's expectations

0:33:500:33:53

and women seem to be significantly better drivers than men

0:33:530:33:56

-on almost every measure.

-I think that's more, as much as anything,

0:33:560:34:00

an indication that stereotypes are not always right and actually

0:34:000:34:03

you can't interpret everything based on a stereotype. You've got to start

0:34:030:34:08

finding evidence in order to be able to really show

0:34:080:34:11

-whether that's right or wrong.

-So why might it be

0:34:110:34:13

that women are better at driving than men?

0:34:130:34:16

Beyond the actual size differences in the brain,

0:34:160:34:20

men have slightly bigger brains but men tend to be slightly bigger...

0:34:200:34:23

beyond that there aren't any clear, defined differences

0:34:230:34:26

between the actual structure of a man's brain and a woman's brain,

0:34:260:34:29

and yet there are differences in the way that they behave, so that might

0:34:290:34:34

be some of the more subtle differences in the brain

0:34:340:34:36

that we aren't completely sure about yet, but it's much more likely to be

0:34:360:34:39

an interaction of the brain, the behaviour and culture we live in.

0:34:390:34:43

So from very early on, intentionally or otherwise,

0:34:430:34:48

we tend to treat young boys and young girls quite differently

0:34:480:34:50

and the way you behave and the external input to the brain

0:34:500:34:55

hugely impact on how the brain develops.

0:34:550:34:56

So you say we need to get out and get some evidence.

0:34:560:34:59

I say you trust women drivers more.

0:34:590:35:00

And the difference between male and female drivers

0:35:040:35:07

is biggest among the under 25s. I was shocked to learn

0:35:070:35:11

that the leading cause of death for men of that age

0:35:110:35:14

is traffic accidents.

0:35:140:35:16

-NEWSCASTER:

-An 18-year-old driver,

0:35:160:35:17

in whose car four teenage girls were killed

0:35:170:35:19

when he crashed on a mountain road....

0:35:190:35:21

-REPORTER:

-'Police have named five of the six young people killed

0:35:210:35:24

'in a road accident in Leicestershire yesterday.'

0:35:240:35:26

-NEWSCASTER:

-'Two men died

0:35:260:35:27

'after a car crashed into trees in Shropshire...'

0:35:270:35:29

Paralympic gold medallist Josie Pearson was one of five young people

0:35:290:35:34

travelling to Newport.

0:35:340:35:35

My boyfriend was what they call a boy racer, he liked speed...

0:35:350:35:42

He took risks probably when he shouldn't have done.

0:35:430:35:48

Josie's boyfriend was trying to overtake a car on an A road.

0:35:480:35:52

We used to tell him "Why do you do it? Don't drive so fast,"

0:35:520:35:56

but he obviously got a kick out of it, a thrill out of it.

0:35:560:35:59

They ended up in a head-on collision on a blind bend.

0:35:590:36:03

My boyfriend died on impact. The guy that was sat in front of me

0:36:040:36:07

was wearing his seatbelt. Unfortunately, I wasn't.

0:36:070:36:11

So my best friend, she had a lot of internal damage

0:36:110:36:15

and then the chap that was sat behind the driver, my boyfriend,

0:36:150:36:21

he was fine.

0:36:210:36:23

He got himself out of the car, apparently, and they found him

0:36:230:36:27

-in shock on the side of the road.

-How old was your boyfriend?

0:36:270:36:30

My boyfriend was 19.

0:36:300:36:33

I was 17, my best friend was 17.

0:36:330:36:36

I think when you're that age, you feel invincible,

0:36:360:36:38

and you feel that, "Oh, that's not going to happen to me."

0:36:380:36:42

I don't know whether he didn't care or if it was more like a...

0:36:420:36:45

Obviously he must've got an adrenaline rush out of it.

0:36:450:36:48

I can't believe how irresponsible he was.

0:36:480:36:51

I want to find out more about boy racers

0:36:530:36:55

and why they take such big risks on the road.

0:36:550:36:58

I'm meeting up with Professor Geoff Beattie, who has written

0:36:580:37:01

about car culture for the insurance industry.

0:37:010:37:04

-Pleased to meet you.

-Hi, it's nice to see you.

0:37:040:37:06

-Good to see you, how are you?

-Very well, thank you.

0:37:060:37:09

So what is it about cars

0:37:090:37:11

and putting your foot down on the accelerator and this group of men?

0:37:110:37:15

Well, I mean, it's celebrating what young men have evolved to do,

0:37:150:37:20

which is stand out from the crowd by being faster, stronger, more daring.

0:37:200:37:25

Here they're doing it in a particularly cultural way.

0:37:250:37:28

They're doing it through cars.

0:37:280:37:30

We've come to Ultimate Street Car event at the Santa Pod raceway,

0:37:390:37:42

where anyone can bring their own car and test it out on the track.

0:37:420:37:47

The beauty of cars is that

0:37:470:37:49

you don't have to be the best hunter of the pack

0:37:490:37:52

to drive a car really well. A lot depends upon the car,

0:37:520:37:55

so it gives everyone the chance to rise in the tribe

0:37:550:37:58

by getting into one of those cars and just racing along that track.

0:37:580:38:02

And of course if you look at the age of the people here,

0:38:020:38:05

they're all under 25. Very few women here.

0:38:050:38:07

-Any women who are here are here...

-With their boyfriends.

-Yes.

0:38:070:38:11

Is this your car?

0:38:110:38:13

-Whose car is it?

-Mine.

-What are we looking at?

0:38:130:38:15

-Redtop, 2.1 Redtop. 16-year-old.

-Did you build this yourself?

0:38:150:38:20

Yeah, apart from the paint.

0:38:200:38:21

How much did you spend on it?

0:38:210:38:23

Well, it's insured for about ten grand.

0:38:230:38:25

And how old are you?

0:38:250:38:27

-24.

-24. And you're insured for £10,000? That's so much money.

0:38:270:38:32

-Fully comp as well.

-Why are you spending so much money on a car?

0:38:320:38:35

-Cos I enjoy going out in it, that's why.

-Do you?

0:38:350:38:37

-Yeah.

-What's the enjoyment, what's the pleasure?

0:38:370:38:39

Driving fast. Shouldn't say that, should you?

0:38:390:38:41

-How fast have you driven?

-Er, about 140 in this.

0:38:410:38:44

On the roads?

0:38:440:38:46

Might have done. I'm on camera, I'm not going to say that, am I?

0:38:460:38:49

-But do you think that's wise? Do you think that's safe?

-Of course not.

0:38:490:38:52

-So why do you are you doing it?

-Cos I get a buzz out of it.

0:38:520:38:56

-That's the main reason.

-Yeah?

-Were you on your own or with someone?

0:38:560:38:59

Groups of friends. Yeah, we go out in cars, have a laugh.

0:38:590:39:02

It's the culture, isn't it? A group of friends, that's what we do.

0:39:020:39:05

Do up cars, come here, race them for the weekend

0:39:050:39:08

but here it's better cos it's all legal, isn't it?

0:39:080:39:10

-What do cars mean to you?

-Pardon?

-What do cars mean to you?

0:39:100:39:13

Everything, it's my job. I'm a mechanic. Everything, my life.

0:39:130:39:17

-Do you race?

-We don't race so much, we used to.

0:39:170:39:20

There's a couple of places round where I live,

0:39:200:39:22

but it's all been shut down now.

0:39:220:39:24

It does get out of hand, don't get me wrong.

0:39:240:39:26

-Why, what's happened?

-A couple of crashes and stuff.

-Serious?

0:39:260:39:29

-Yeah, yeah.

-Have you lost friends?

0:39:290:39:32

No, no, not personally. But I know people who have lost friends.

0:39:320:39:35

So what do the neuroscientists have to say about boy racers

0:39:370:39:40

and their risk-taking?

0:39:400:39:42

In the last 15 years, MRI scans have enabled researchers to find out

0:39:420:39:47

that the human brain keeps developing until at least 25.

0:39:470:39:52

They believe that the period known as adolescence can go on

0:39:520:39:55

well into our twenties, and our brains change profoundly

0:39:550:40:00

over this period.

0:40:000:40:02

This part in the middle of the brain is very much involved in emotion

0:40:020:40:06

and there's an area right down here which is called

0:40:060:40:09

the ventral striatum, and this is the part of the brain

0:40:090:40:11

that is about processing reward,

0:40:110:40:13

it's the bit which makes you get that kick

0:40:130:40:15

when you get that adrenaline rush, when you have that feeling

0:40:150:40:18

of a high, and this part really changes in adolescence

0:40:180:40:21

and we can see that in adolescent behaviour. But we can also see that

0:40:210:40:25

in MRI scanners, so if you get an adolescent to do something

0:40:250:40:28

that they get a reward, this part of the brain really lights up

0:40:280:40:31

much more profoundly than in children

0:40:310:40:33

and more, in most cases, than adults as well.

0:40:330:40:35

This isn't a less-good adult brain,

0:40:350:40:39

it's adapted to what we need to do in that period of our lives -

0:40:390:40:43

try new experiences our parents may not approve of, impress girls.

0:40:430:40:48

It's just that evolution hadn't anticipated souped-up cars.

0:40:480:40:51

So, for example, if you were to drive fast,

0:40:510:40:54

have the wind in your hair, that sense of reward

0:40:540:40:58

and that sense of adventure that you get

0:40:580:41:00

is being partly processed in this area.

0:41:000:41:03

This is delivering that kind of sensation of happiness, euphoria?

0:41:030:41:08

Exactly, this part of the brain is vital

0:41:080:41:10

for you to be able to feel that,

0:41:100:41:11

and it seems to be really active in this adolescent age group.

0:41:110:41:15

But an interesting thing is, it's not all of the time.

0:41:150:41:17

So adolescents are capable of having very normal, safe driving behaviour

0:41:170:41:22

in the lab, but when you put them in a more high-emotional situation,

0:41:220:41:27

for example when they've got friends they want to impress,

0:41:270:41:30

then they seem to behave in a more risky way

0:41:300:41:33

and they activate this part of their brain more.

0:41:330:41:36

Who do you think are the most dangerous people on the roads?

0:41:360:41:39

-Definitely old people.

-Who are the most dangerous people on the roads?

0:41:390:41:42

-Why women?

-Because they pull out on you for no reason.

0:41:420:41:46

-THEY ALL LAUGH

-Just...

0:41:460:41:48

no common sense at all.

0:41:480:41:50

All the boys that we've spoken to, when we have asked them

0:41:500:41:53

"who do you think are the most dangerous people on the roads?"

0:41:530:41:56

none of them have said, "We are."

0:41:560:41:57

They've all blamed women or old people.

0:41:570:41:59

They think it's a conspiracy, they think it's a stereotype.

0:41:590:42:02

And they're saying that the reality doesn't match the stereotype.

0:42:020:42:05

But it's as if they're in denial.

0:42:050:42:08

It's as if they've persuaded themselves

0:42:080:42:10

of a particular view of the world.

0:42:100:42:12

And they've got categorisations for women and old people.

0:42:120:42:15

And as long as they stick to that, they can feel invincible.

0:42:150:42:18

It seems we're the worst people to asses our own driving ability.

0:42:180:42:23

Of the 1,900 road deaths last year, one in five were young people.

0:42:230:42:28

And it's not just male drivers. Young women are also at high risk.

0:42:280:42:33

Much of this is simply due to lack of experience on the road.

0:42:330:42:37

However, there are some proposals around to address this.

0:42:370:42:41

The Association of British Insurers are calling

0:42:410:42:44

for graduated driving licences for young people,

0:42:440:42:47

so you would be able to start learning to drive

0:42:470:42:50

six months earlier than you can currently,

0:42:500:42:53

so while you're 16-and-a-half, but then you have to wear L plates

0:42:530:42:57

on your cars for an extra year,

0:42:570:42:59

you're not allowed to have friends in the car with you.

0:42:590:43:01

And you can't drive between the hours of 11pm and 4am.

0:43:010:43:06

And also stricter rules on the amount of alcohol

0:43:060:43:10

that a young person can have in their system whilst driving.

0:43:100:43:12

Accidents amongst this group of young doesn't just come down

0:43:120:43:15

to risk-taking. Often it's lack of experience,

0:43:150:43:18

they just haven't been driving long enough to fully understand roads

0:43:180:43:22

or cars, so graduated driving licences make a lot of sense.

0:43:220:43:25

We know that in Sweden when this happened,

0:43:250:43:28

there was about a 40% reduction in crashes.

0:43:280:43:31

So there are massive opportunities

0:43:310:43:33

for us to decrease the amount of blood on the road.

0:43:330:43:37

These kinds of interventions are most effective for high-risk groups.

0:43:370:43:41

Another high-risk group are in fact the most experienced drivers

0:43:410:43:46

of them all - the elderly.

0:43:460:43:48

His life was torn apart when his wife and son were killed

0:43:480:43:52

after a car mounted the pavement they were walking along.

0:43:520:43:55

It was being driven by an elderly man who had a heart attack.

0:43:550:43:58

..calling for a change in the law

0:43:580:44:00

so drivers over a certain age are retested.

0:44:000:44:02

His age, his reaction times,

0:44:020:44:04

his reading of certain situations were failing.

0:44:040:44:06

Let's look at the statistics for how age affects accidents.

0:44:060:44:10

Drivers under 20 are 12 times more likely than not

0:44:100:44:14

to be to blame for an accident.

0:44:140:44:16

Drivers aged 50 are more likely to be innocent.

0:44:160:44:19

By 80, it's back up to seven times more likely to be to blame

0:44:190:44:24

and climbing.

0:44:240:44:25

There have been calls for compulsory retesting of the elderly.

0:44:250:44:28

So we thought we'd put them head-to-head with the young

0:44:280:44:31

and see how they compare.

0:44:310:44:33

Adolescents versus...

0:44:340:44:36

Octogenarians.

0:44:360:44:38

I've got my team of young drivers, a lot of them have had crashes,

0:44:390:44:44

they're paying a lot of money for their insurance.

0:44:440:44:47

It is a concern, but they all tell me they're very safe drivers,

0:44:470:44:50

so all I can do is believe them.

0:44:500:44:52

Dr Crundall and his team have designed an obstacle course

0:44:530:44:56

for our drivers to negotiate.

0:44:560:44:58

It consists of nine gates.

0:45:000:45:02

At each gate they will have a choice of two gaps.

0:45:020:45:04

They'll get more points for the narrower gap.

0:45:040:45:07

-Fewer for the wider one.

-No points if they touch the sides.

0:45:070:45:11

So we can see if there's a difference in the risk

0:45:110:45:14

-which they're prepared to take.

-And also in their driving ability.

0:45:140:45:18

All our drivers are accompanied by a qualified driving instructor,

0:45:180:45:22

-but he's not allowed to help.

-There's no time limit...

0:45:220:45:25

Go.

0:45:250:45:26

ENGINE STRAINS

0:45:260:45:28

'And no extra points for speed.' Steady, go!

0:45:280:45:31

Who will score higher?

0:45:340:45:37

Who do you think's going to be safer, you,

0:45:370:45:39

-or someone in their eighties?

-I think us.

0:45:390:45:42

Who's going to be best?

0:45:420:45:43

We are!

0:45:430:45:45

First up for the older drivers, Jenny, driving since 1948.

0:45:450:45:49

It must have been quite unusual for a woman to drive in 1948.

0:45:490:45:53

-I suppose it was. I've always been a bit of a go-getter.

-Go!

0:45:530:45:56

Is she going to go for... It's two fives there, isn't it?

0:45:590:46:02

-It's not very wide.

-No.

0:46:020:46:05

We'll go through the twenties, get our marks up as high as possible.

0:46:050:46:09

-Oh, yes, she's knocked it down.

-Bad mark!

0:46:090:46:12

I love my car, it's like my wife.

0:46:120:46:15

I go everywhere in it, and it's just my life.

0:46:150:46:18

-You nervous, Taelor?

-No.

0:46:180:46:20

Taelor is completely oblivious to his seatbelt alarm.

0:46:210:46:24

ALARM BEEPS

0:46:240:46:27

We want to know how observant our drivers are whilst concentrating

0:46:280:46:33

on driving the course, so we've dressed one of our cameramen

0:46:330:46:36

in a bear suit.

0:46:360:46:38

This might equate to noticing a pedestrian stepping out

0:46:380:46:41

while you're looking for a parking place.

0:46:410:46:44

What was the cameraman wearing?

0:46:440:46:45

I don't know, I wasn't looking for the cameraman.

0:46:450:46:48

-You didn't spot the cameraman?

-No.

0:46:480:46:50

HE LAUGHS

0:46:500:46:53

You're all over 80, how do you feel about driving?

0:46:530:46:55

I mean, are you as good at driving as you were?

0:46:550:46:57

I mean, we don't know, but we just are careful drivers and...

0:46:570:47:02

..and our life, if you took our cars away,

0:47:030:47:07

our whole lives would change.

0:47:070:47:09

If I had to give up my car, I've no means of getting anywhere

0:47:090:47:12

and I live in a rural area like this,

0:47:120:47:15

there just are no buses to get me into town.

0:47:150:47:18

-I don't mind doing left turns.

-But you don't like right turns.

0:47:180:47:21

-I don't like right turns.

-That'll make it hard to get around.

0:47:210:47:24

Then I'm going left.

0:47:240:47:26

Round to the left.

0:47:260:47:27

'Our village is very near Junction 17, M4'

0:47:270:47:30

so I go along there,

0:47:300:47:32

turn left into the hospital,

0:47:320:47:34

when I come to leave, I go out and turn left again

0:47:340:47:37

and come back on the old road...

0:47:370:47:39

-Avoiding right turns.

-Avoiding any right turns.

0:47:390:47:42

So you're driving down here

0:47:420:47:43

and you decide whether you want to go through...

0:47:430:47:45

Which of those two gates do you want to go through?

0:47:450:47:48

-Right...

-And as you go round there, there's a 10 and a 20.

0:47:480:47:50

You can't go through there!

0:47:500:47:51

-You can.

-You can't!

0:47:510:47:53

You can, no, you can.

0:47:530:47:55

After a cautious start, Marian uses a new tactic.

0:47:550:47:59

-How do you reverse?

-That's it, yep.

0:47:590:48:01

-Reversing to re-align...

-That's sensible, isn't it?

0:48:030:48:06

If you're not sure you're going to negotiate,

0:48:060:48:08

you know, she's playing it cool.

0:48:080:48:10

Certainly for elderly people,

0:48:100:48:11

you expect that doing multiple tasks at the same time

0:48:110:48:15

in a dynamic environment will be difficult.

0:48:150:48:18

The way Marian's dealing with this - she's actually stopping the car,

0:48:180:48:22

then making that decision while she's stationary.

0:48:220:48:24

It's a very sensible compensatory strategy she's using.

0:48:240:48:27

There is a lot of discussion at the moment

0:48:270:48:30

about introducing compulsory testing for older drivers.

0:48:300:48:32

Would you agree that people should have compulsory testing?

0:48:320:48:36

I don't think it should wait until we're 80

0:48:360:48:39

because if you're still handling a car properly at 60,

0:48:390:48:43

you'll probably still be handling it all right at 80.

0:48:430:48:45

The high-scoring gap at the end of the course is worth 40 points,

0:48:450:48:50

although it's actually narrower than the car.

0:48:500:48:53

We've called it the impossigate,

0:48:530:48:55

but Len manages, with an impressive display of skill,

0:48:550:48:58

to get his car through.

0:48:580:49:00

So what are the results on risk-taking and driving ability?

0:49:000:49:05

It takes a week for the number crunching.

0:49:050:49:07

Did old drivers score more points than young drivers?

0:49:070:49:11

-Are they better?

-Are they better?

0:49:110:49:12

They did score more points - we've got 91 points for the old drivers.

0:49:120:49:16

-only 81 points for the young drivers.

-Whoa!

0:49:170:49:20

Statistically speaking, that gap isn't big enough.

0:49:200:49:24

-Yeah, it's not that significant.

-But there is definitely a trend

0:49:240:49:27

where the old drivers are doing better.

0:49:270:49:29

So we can't draw concrete conclusions about ability,

0:49:290:49:33

but what about risk-taking?

0:49:330:49:34

Which group was tempted through the narrower gates by higher points?

0:49:340:49:39

Again, it's actually favouring the old people for being slightly risky.

0:49:390:49:44

Oh, 40.

0:49:440:49:45

-40 or 10. Your choice.

-That's too tempting for words.

0:49:450:49:48

The older drivers were slightly more likely to go for the risky gate,

0:49:480:49:51

but slightly more likely to get through as well.

0:49:510:49:53

She's made it. That was another 20 points, I think.

0:49:530:49:56

So the old are taking risks to earn points,

0:49:560:49:59

but well-calculated ones,

0:49:590:50:01

and not least because they were three times slower than the young,

0:50:010:50:05

some of whom really went for it.

0:50:050:50:08

We're rocking, ain't we?

0:50:080:50:09

Both groups had been clearly told

0:50:090:50:11

that speed didn't gain points.

0:50:110:50:14

The octogenarians seemed to take that on board.

0:50:140:50:17

But there was one other important result for the old drivers,

0:50:170:50:21

'not as a group, but as individuals.'

0:50:210:50:23

'One of them was clearly the best driver

0:50:230:50:25

'and another was by far and away the worst.'

0:50:250:50:29

'Where does that leave compulsory retesting?'

0:50:290:50:32

Is it fair to, in this instance,

0:50:320:50:35

to blanket-test all the blue people in this graph...

0:50:350:50:39

Given that they've done better than the young people...

0:50:390:50:42

-..just to find the outliers?

-But one's done really badly.

0:50:420:50:45

-But hold on, this outlier is really bad.

-It's way off the scale.

0:50:450:50:48

There's not much evidence

0:50:510:50:53

that those types of measures for elderly people

0:50:530:50:56

will have a major impact.

0:50:560:50:59

In fact, older people do tend to take very sensible precautions.

0:50:590:51:04

Once they have medical issues,

0:51:040:51:07

they often will take themselves out of driving completely

0:51:070:51:12

or they will actually reduce their high exposure,

0:51:120:51:15

so they don't tend to drive at night,

0:51:150:51:18

they don't tend to drive in highly congested situations,

0:51:180:51:21

so they're actually reducing their exposure to risk.

0:51:210:51:24

'We've been examining the accident statistics for groups of drivers

0:51:240:51:28

'but as we've seen, everyone's different.'

0:51:280:51:30

'A few older drivers could influence policy for all the others.'

0:51:300:51:35

Safe young drivers often have to pay inflated insurance premiums

0:51:350:51:40

based on the driving of the worst of their group.

0:51:400:51:42

But the insurance companies believe they may have a way to address this.

0:51:420:51:47

Telematics boxes keep a record of every journey,

0:51:470:51:50

including speed, time of day,

0:51:500:51:53

location, cornering,

0:51:530:51:55

acceleration and braking,

0:51:550:51:57

so that insurers can weigh up the risk.

0:51:570:51:59

But how do our young drivers feel about being constantly monitored?

0:51:590:52:04

I wouldn't have a black box in my car.

0:52:040:52:06

My insurance company already have enough details, you know.

0:52:060:52:09

Why should I then tell them what I'm getting up to?

0:52:090:52:11

I think it would be quite good to see what your driving's like,

0:52:110:52:14

so if you think you're a good driver

0:52:140:52:16

but find out you're not, you can improve yourself.

0:52:160:52:18

So why wouldn't you want anyone knowing how you're driving?

0:52:180:52:22

Because sometimes it's not the best style of driving

0:52:220:52:25

and it is aggressive

0:52:250:52:27

but I feel I'm safe doing it.

0:52:270:52:29

Black box in my car, I think it'd be all right.

0:52:290:52:31

I don't really do anything stupid.

0:52:310:52:33

There's someone monitoring you 24/7. I don't like being monitored 24/7.

0:52:330:52:37

The simple fact that parents can see what they're up to

0:52:370:52:40

seems to make young drivers safer on its own, as demonstrated

0:52:400:52:44

by lower accident rates where telematics boxes are in use.

0:52:440:52:48

There are massive opportunities for black box technology

0:52:480:52:52

to improve the insurance for younger drivers in particular,

0:52:520:52:58

and to improve their safety

0:52:580:53:00

because let's face it, if young drivers cannot afford the insurance

0:53:000:53:05

at their current situation,

0:53:050:53:07

they can afford it by simply driving safe.

0:53:070:53:10

Straightforward for everyone.

0:53:100:53:12

Could this technology also help

0:53:120:53:15

with other high-risk groups like the elderly?

0:53:150:53:18

Or are we putting too much power in the hands of the authorities

0:53:190:53:22

by allowing ourselves to be tracked and monitored all the time?

0:53:220:53:26

Telematics are designed to record and highlight our mistakes,

0:53:280:53:33

to help us change.

0:53:330:53:34

Other technologies being developed

0:53:340:53:36

are taking an even more radical approach.

0:53:360:53:39

It's five o'clock in the morning and I'm about to be driven

0:53:420:53:45

to a secret location somewhere in Sweden

0:53:450:53:48

to experience the future of car technology.

0:53:480:53:51

In almost all accidents, human error plays a role.

0:53:560:53:58

So if I put it really simplistically, I could say,

0:53:580:54:01

if we would remove the human

0:54:010:54:02

and drive completely automatically,

0:54:020:54:04

there's a huge potential of making traffic safer.

0:54:040:54:07

Look at that!

0:54:200:54:21

SHE LAUGHS

0:54:210:54:23

This is so weird.

0:54:240:54:26

My feet and my hands!

0:54:260:54:28

I don't need to use either.

0:54:300:54:31

This is the first type of driverless car

0:54:330:54:36

we're likely to see on our roads.

0:54:360:54:38

The necessary technology is already available in many of our cars.

0:54:380:54:42

The idea is called platooning.

0:54:440:54:46

One driver, in this case in the truck,

0:54:460:54:49

takes control of the vehicles behind him.

0:54:490:54:52

The technology is here.

0:54:520:54:54

I'm sitting in a car that's essentially driving on its own.

0:54:540:54:58

It's quite amazing.

0:54:580:54:59

Platooning is being developed

0:54:590:55:02

by a consortium called SARTRE with EU money.

0:55:020:55:05

'It can take control of our cars

0:55:050:55:07

'using systems you may already be driving around with - '

0:55:070:55:10

lane-keeping aids and adaptive cruise control,

0:55:100:55:13

which manage speed, steering and braking.

0:55:130:55:16

It's all connected using wi-fi technology.

0:55:160:55:19

What I want to know is, there's still a driver in the truck,

0:55:220:55:27

what if he makes a mistake?

0:55:270:55:29

He will have support systems that warn him to react

0:55:290:55:32

and if he's not reacting,

0:55:320:55:34

the truck will autonomously brake

0:55:340:55:37

-and all the cars behind him as well...

-Will brake.

-Yeah.

0:55:370:55:41

And they'll brake in time,

0:55:410:55:44

-so that you don't end up shunting the car in front.

-Yes.

0:55:440:55:46

Be prepared now, we're going to do a medium harsh braking.

0:55:460:55:50

Oh, wow.

0:55:520:55:53

She's not touching anything.

0:55:530:55:55

-No!

-No feet on pedals.

0:55:550:55:58

This is a system for the motorway.

0:55:580:56:01

It could be installed, for example, in a scheduled coach service

0:56:010:56:04

which is already running up and down a route.

0:56:040:56:07

Cars or lorries could drive up behind the vehicle

0:56:070:56:10

and join the road train.

0:56:100:56:12

But there is one big obstacle -

0:56:120:56:14

this kind of technology requires a fundamental change in the law.

0:56:140:56:19

All over the world, motoring law is underpinned by one principle -

0:56:190:56:24

a car must be under the control of the driver.

0:56:240:56:26

In other words, a human MUST be in charge.

0:56:260:56:30

But we've seen that humans are the biggest problem.

0:56:300:56:34

SARTRE believe the move to more automated cars is inevitable.

0:56:340:56:38

And estimates the necessary legislation will take ten years.

0:56:380:56:43

'Meanwhile, our need for sleep...'

0:56:430:56:46

Wake up!

0:56:460:56:47

Our inability to concentrate...

0:56:470:56:49

The desire for alcohol and drugs...

0:56:490:56:51

There we go.

0:56:510:56:53

..to show off to our peers...

0:56:530:56:55

..the things that make us human

0:56:550:56:57

will continue to make us a danger to ourselves and others on the road.

0:56:570:57:01

So what are we prepared to give up in order to save lives?

0:57:010:57:04

The right to enjoy a drink?

0:57:040:57:07

Or not to be monitored wherever we go?

0:57:070:57:10

For many of us, driving is about freedom and personal choice.

0:57:100:57:14

It took decades to make seatbelts compulsory.

0:57:160:57:19

Seatbelt's there for a reason and it's there to save lives.

0:57:190:57:22

I didn't put it on, and I...

0:57:220:57:25

I have to deal with the consequences.

0:57:250:57:27

Surveillance and driverless technologies

0:57:270:57:31

present more complex choices.

0:57:310:57:33

But with nearly 2,000 dead on the roads,

0:57:330:57:36

are we as a nation paying enough attention to the problems?

0:57:360:57:39

Or are we wasting opportunities and lives?

0:57:390:57:44

There's no such thing as an accident. Everything has a cause.

0:57:440:57:48

Everyone still calls them accidents.

0:57:480:57:50

So if the priority is to tackle the causes and cut casualties,

0:57:500:57:55

we must all play our part.

0:57:550:57:57

If this was some obscure cancer,

0:57:570:58:01

then we would be working really hard to produce the solutions.

0:58:010:58:05

We know what the solutions are for driving.

0:58:050:58:09

We just need to persuade ourselves to implement them.

0:58:090:58:12

But as we all know, humans are often reluctant to take the safest course.

0:58:130:58:19

Subtitles by Red Bee Media Ltd

0:58:420:58:46

Download Subtitles

SRT

ASS