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Last year, the number of people | 0:00:02 | 0:00:04 | |
killed on Britain's roads went up for the first time in years. | 0:00:04 | 0:00:08 | |
1,900 people died on them. | 0:00:08 | 0:00:12 | |
That's the equivalent of four London-to-Glasgow commuter trains | 0:00:12 | 0:00:16 | |
with every seat full. | 0:00:16 | 0:00:18 | |
And a further 23,000 were seriously injured. | 0:00:18 | 0:00:21 | |
That's enough seriously injured people | 0:00:21 | 0:00:23 | |
to fill the Albert Hall four times. | 0:00:23 | 0:00:26 | |
The total injured is far higher, | 0:00:26 | 0:00:29 | |
more than the population of Luton. | 0:00:29 | 0:00:32 | |
Is this number of casualties acceptable? | 0:00:32 | 0:00:34 | |
And what can be done to reduce it? | 0:00:34 | 0:00:36 | |
We've talked to the experts, the drivers and the survivors. | 0:00:38 | 0:00:42 | |
My boyfriend died on impact | 0:00:42 | 0:00:43 | |
cos his side of the car took the brunt of the head-on collision. | 0:00:43 | 0:00:46 | |
-And they all agree that by far... -..the major contributory factor.. | 0:00:48 | 0:00:51 | |
..in collisions on Britain's roads... | 0:00:51 | 0:00:53 | |
BOTH: ..is us, the British driver. | 0:00:53 | 0:00:56 | |
Almost all accidents involve human error, so what are we doing wrong? | 0:00:56 | 0:01:00 | |
He's watching documentaries on his laptop. | 0:01:00 | 0:01:03 | |
With access to a unique archive of crashes and near-misses, | 0:01:04 | 0:01:07 | |
we'll be seeing what can happen | 0:01:07 | 0:01:09 | |
when our obsession with our smartphones takes over. | 0:01:09 | 0:01:13 | |
And asking if our 24-hour culture | 0:01:13 | 0:01:15 | |
is inviting us to fall asleep at the wheel. | 0:01:15 | 0:01:18 | |
We'll discover which is the greatest threat - tiredness or drunkenness. | 0:01:18 | 0:01:23 | |
Whoa. | 0:01:25 | 0:01:26 | |
And setting up our own experiment to find out who is more dangerous. | 0:01:26 | 0:01:30 | |
Adolescents? | 0:01:30 | 0:01:32 | |
Or octogenarians? | 0:01:34 | 0:01:36 | |
And we'll be asking what we can we do about it. | 0:01:36 | 0:01:39 | |
If you took our cars away, our whole lives would change. | 0:01:39 | 0:01:44 | |
So if we are the problem, is technology the answer? | 0:01:44 | 0:01:48 | |
If we would remove the human, | 0:01:48 | 0:01:50 | |
there's a huge potential of making traffic safer. | 0:01:50 | 0:01:53 | |
Look at that! | 0:01:53 | 0:01:54 | |
And we'll be answering the most hotly debated question of them all. | 0:01:56 | 0:02:00 | |
Who are the best drivers? | 0:02:00 | 0:02:01 | |
Men? | 0:02:01 | 0:02:03 | |
Or women? | 0:02:03 | 0:02:04 | |
There are some females who could do with some better road skills. | 0:02:04 | 0:02:07 | |
Last week, we looked at roads and cars. | 0:02:21 | 0:02:24 | |
But with more than nine out of ten accidents involving human error, | 0:02:24 | 0:02:27 | |
tonight we'll be finding out the truth about us, | 0:02:27 | 0:02:30 | |
-the drivers. -Why do we keep making catastrophic errors? | 0:02:30 | 0:02:34 | |
We'll be finding out who are the most dangerous drivers on our roads. | 0:02:34 | 0:02:38 | |
And discovering the incredible risks virtually all of us routinely take. | 0:02:38 | 0:02:44 | |
But we're going to start with | 0:02:44 | 0:02:46 | |
one of the things that distracts us the most. Our phones. | 0:02:46 | 0:02:49 | |
We've all seen people using their phone while they drive, | 0:02:49 | 0:02:52 | |
even though it's illegal. | 0:02:52 | 0:02:55 | |
So how dangerous IS using your phone at the wheel? | 0:02:55 | 0:02:58 | |
I'm going to find out what the experts have to say. | 0:02:58 | 0:03:02 | |
And I'm going spying. | 0:03:02 | 0:03:03 | |
It's a big old beast of a vehicle, isn't it? | 0:03:14 | 0:03:17 | |
It is. It's a right machine, it's a different world up in there. | 0:03:17 | 0:03:20 | |
Let's have a look. | 0:03:20 | 0:03:21 | |
-Where do you want me to sit? -If you could sit in the middle for us. | 0:03:21 | 0:03:24 | |
PC Mick Eustis of the South Yorkshire Police has invited me | 0:03:27 | 0:03:31 | |
to take part in Operation Ophelia. | 0:03:31 | 0:03:34 | |
The idea is simple. | 0:03:35 | 0:03:37 | |
By travelling in an unmarked truck, not only are we undercover, | 0:03:37 | 0:03:41 | |
but we are also high enough to look down into cars | 0:03:41 | 0:03:45 | |
and straight into HGVs. | 0:03:45 | 0:03:48 | |
So we're going to spy on drivers | 0:03:49 | 0:03:51 | |
to see if they're doing anything in the privacy of their cars | 0:03:51 | 0:03:54 | |
which might contribute to a crash. | 0:03:54 | 0:03:58 | |
Of course, being a police operation, | 0:03:58 | 0:04:01 | |
there will be consequences for the drivers. | 0:04:01 | 0:04:04 | |
So in this car here, if we see any offences taking place on the road, | 0:04:06 | 0:04:11 | |
we've got this vehicle and actually another one ready to go. | 0:04:11 | 0:04:16 | |
We're just entering M18 northbound, we'll go hunting. | 0:04:16 | 0:04:19 | |
And the hunting is good. | 0:04:19 | 0:04:22 | |
There's no shortage of people using mobile phones. | 0:04:22 | 0:04:26 | |
We follow one driver for some time. | 0:04:26 | 0:04:28 | |
She's so wrapped up in her conversation, she hasn't noticed | 0:04:28 | 0:04:31 | |
the man filming her from the lorry or the two police cars behind her. | 0:04:31 | 0:04:37 | |
Still on the phone. Can quite clearly see. | 0:04:37 | 0:04:41 | |
She's now looking in her rear-view mirror at us. | 0:04:41 | 0:04:44 | |
She's having quite a joyous time, smiling. | 0:04:44 | 0:04:46 | |
She is, she's having a good conversation, isn't she? | 0:04:46 | 0:04:49 | |
She's the one to our left - can you get in behind her? | 0:04:49 | 0:04:52 | |
Yankee Romeo One Two Uniform Oscar Echo. | 0:04:52 | 0:04:54 | |
Her phone call ended | 0:04:54 | 0:04:55 | |
with the likelihood of a £60 fine and three points. | 0:04:55 | 0:05:00 | |
So how many accidents do mobile phones really cause? | 0:05:03 | 0:05:07 | |
I'm visiting the Transport Research Laboratory in Berkshire | 0:05:11 | 0:05:15 | |
for some facts and figures about mobile use and accidents. | 0:05:15 | 0:05:18 | |
So this is the ultimate research lab for drivers, basically. | 0:05:22 | 0:05:27 | |
You can find out how we behave, | 0:05:27 | 0:05:30 | |
why we behave in particular scenarios and situations. | 0:05:30 | 0:05:34 | |
That's right. We can set up scenarios in a safe way | 0:05:34 | 0:05:37 | |
where we can understand how different types of distraction | 0:05:37 | 0:05:40 | |
and impairment affect our ability to drive or ride safely. | 0:05:40 | 0:05:43 | |
'TRL have used their driving simulator to compare the effects | 0:05:43 | 0:05:48 | |
'of mobile phones and alcohol on our driving, with shocking results. | 0:05:48 | 0:05:52 | |
'Their work shows using a mobile phone | 0:05:52 | 0:05:55 | |
'whilst driving can slow your reaction time by up to 50%.' | 0:05:55 | 0:05:59 | |
Your brain is dealing with the complex task of driving. | 0:06:01 | 0:06:03 | |
You're having to maintain the speed of the vehicle, | 0:06:03 | 0:06:06 | |
the position of the vehicle. | 0:06:06 | 0:06:08 | |
To speak on a mobile phone as well | 0:06:08 | 0:06:09 | |
makes you much worse at all those things. | 0:06:09 | 0:06:11 | |
I'm seeing for myself just how dangerous it can be. | 0:06:11 | 0:06:15 | |
Back in South Yorkshire, we're following a car driving erratically. | 0:06:15 | 0:06:19 | |
He's still all over the road. | 0:06:19 | 0:06:21 | |
Yeah, he's looking, he is definitely doing something. | 0:06:21 | 0:06:23 | |
He's got the phone in his left hand. | 0:06:23 | 0:06:26 | |
Yeah, he's texting. Look at that. | 0:06:26 | 0:06:28 | |
'People do the same journey from work to home' | 0:06:28 | 0:06:32 | |
day in, day out, and think they're perfectly safe | 0:06:32 | 0:06:35 | |
being on the phone or texting, because they know the road. | 0:06:35 | 0:06:38 | |
A driver on a familiar journey, | 0:06:38 | 0:06:40 | |
having a conversation on a mobile phone, | 0:06:40 | 0:06:42 | |
might miss that one-off occasion | 0:06:42 | 0:06:44 | |
when someone has to brake suddenly in front of them. | 0:06:44 | 0:06:46 | |
We'll pull in behind you, but do you want to come past and stop him? | 0:06:46 | 0:06:50 | |
He's been texting doing 70 miles an hour on the motorway. | 0:06:50 | 0:06:54 | |
We've done studies that have shown when you're driving | 0:06:54 | 0:06:56 | |
and using a mobile phone, whether it's handheld or hands-free, | 0:06:56 | 0:07:00 | |
that impairment is worse than being at the legal limit of alcohol. | 0:07:00 | 0:07:02 | |
When someone's involved in a collision and they've been on their | 0:07:02 | 0:07:05 | |
mobile phone, invariably there's fatality or serious injury involved. | 0:07:05 | 0:07:08 | |
Mick believes phones are so dangerous, | 0:07:08 | 0:07:11 | |
the penalties for using them at the wheel should be increased. | 0:07:11 | 0:07:14 | |
The fine at the moment is a £60 fine and three points. | 0:07:14 | 0:07:18 | |
Personally I think it should be the same as what it is | 0:07:18 | 0:07:21 | |
if you're driving without insurance, which is £200 and six points. | 0:07:21 | 0:07:24 | |
'The government is currently considering | 0:07:24 | 0:07:27 | |
'raising the penalty to £90 and three penalty points. | 0:07:27 | 0:07:31 | |
'But if phones are bad, wait till you see | 0:07:31 | 0:07:34 | |
'what other dangerous habits some drivers have. | 0:07:34 | 0:07:37 | |
'From our vantage point, we can look straight into the cabs | 0:07:37 | 0:07:41 | |
'of the biggest lorries.' | 0:07:41 | 0:07:43 | |
-He's got a laptop, he's got a laptop open. -Yeah. | 0:07:43 | 0:07:47 | |
We can't see whether the laptop's on, but that's a classic. | 0:07:50 | 0:07:54 | |
He's got the laptop open, as you can see it's facing towards him. | 0:07:54 | 0:07:57 | |
Can't quite see whether there's anything on it at the moment. | 0:07:59 | 0:08:02 | |
-That very much looks like it's set up for... -Absolutely. | 0:08:02 | 0:08:05 | |
He's got his entertainment going there, it's plugged in. | 0:08:07 | 0:08:09 | |
'One in eight deaths on the road last year were due to crashes | 0:08:12 | 0:08:15 | |
'involving lorries. | 0:08:15 | 0:08:17 | |
'As were over 1,000 serious injuries. | 0:08:17 | 0:08:20 | |
'Foreign-registered lorries | 0:08:20 | 0:08:21 | |
'with the wheel on the wrong side of the vehicle | 0:08:21 | 0:08:24 | |
'are involved in twice as many serious accidents | 0:08:24 | 0:08:27 | |
'as British lorries.' | 0:08:27 | 0:08:28 | |
Right, so this guy, we drove past him, | 0:08:29 | 0:08:32 | |
he had the laptop open on the dashboard, | 0:08:32 | 0:08:34 | |
appeared to be watching a movie, | 0:08:34 | 0:08:36 | |
caught sight of us and closed the laptop. | 0:08:36 | 0:08:39 | |
So what I'm quite intrigued to find out | 0:08:39 | 0:08:41 | |
is what he was actually doing with it. So let's see if we can, er... | 0:08:41 | 0:08:44 | |
Cos what's really staggering is the kind of things that people do | 0:08:44 | 0:08:47 | |
when they're driving - phones, feet up on the dashboard, | 0:08:47 | 0:08:50 | |
saw a woman doing her makeup earlier. | 0:08:50 | 0:08:52 | |
It is extraordinary what people think they can get away with. | 0:08:52 | 0:08:55 | |
Let's see if he speaks English. | 0:08:55 | 0:08:57 | |
He's been watching National Geographic. | 0:08:57 | 0:08:59 | |
He's been watching National...? | 0:08:59 | 0:09:01 | |
A film on National Geographic. On his laptop. | 0:09:01 | 0:09:04 | |
What was the movie, National Geographic? | 0:09:04 | 0:09:07 | |
Or a documentary? | 0:09:07 | 0:09:08 | |
'This Hungarian driver will be charged | 0:09:08 | 0:09:11 | |
'with driving without due care and attention. | 0:09:11 | 0:09:13 | |
'And he'll have to pay a £300 roadside deposit | 0:09:13 | 0:09:17 | |
'in case he doesn't turn up for the hearing.' | 0:09:17 | 0:09:20 | |
Gang war. | 0:09:20 | 0:09:22 | |
Gang war... | 0:09:24 | 0:09:25 | |
He's driving at 60 miles an hour with 25 tons on the back | 0:09:26 | 0:09:30 | |
of his truck and he says, "Well, you know, it gets a bit boring | 0:09:30 | 0:09:34 | |
"after a few hours." And I'm sure it does, but imagine the consequences | 0:09:34 | 0:09:37 | |
if he had an accident in that, going at that speed? | 0:09:37 | 0:09:41 | |
I mean, it would be an absolute disaster. | 0:09:41 | 0:09:43 | |
At the Transport Research Laboratory, they don't have to | 0:09:46 | 0:09:50 | |
just imagine the consequences of a serious accident. | 0:09:50 | 0:09:53 | |
Here's a classic crash scenario. | 0:09:54 | 0:09:57 | |
Traffic has come to a halt, maybe on a motorway slip road. | 0:09:57 | 0:10:02 | |
A lorry carrying a third of the payload of the one that we stopped | 0:10:02 | 0:10:06 | |
is doing 50 miles an hour and wanders out of lane, | 0:10:06 | 0:10:09 | |
perhaps because the driver is watching | 0:10:09 | 0:10:12 | |
a particularly engrossing movie. | 0:10:12 | 0:10:14 | |
The lorry collides with the line of cars. | 0:10:14 | 0:10:17 | |
With such catastrophic consequences, | 0:10:35 | 0:10:37 | |
what can be done to make the drivers of these vehicles safer? | 0:10:37 | 0:10:41 | |
'One answer could be this little device. | 0:10:43 | 0:10:46 | |
'It's becoming increasingly popular with commercial fleets | 0:10:46 | 0:10:49 | |
'around the world, and we have been road-testing it.' | 0:10:49 | 0:10:53 | |
'DriveCam films all our mistakes. | 0:10:53 | 0:10:56 | |
'If we brake, accelerate or corner too fast, it sends video | 0:10:56 | 0:11:00 | |
'over the mobile phone network back to HQ.' | 0:11:00 | 0:11:02 | |
Installed in 400,000 vehicles worldwide, | 0:11:04 | 0:11:07 | |
DriveCam is creating an extraordinary archive | 0:11:07 | 0:11:10 | |
of crashes and near-misses, | 0:11:10 | 0:11:12 | |
helping us understand what really happens when things go wrong. | 0:11:12 | 0:11:16 | |
SHE SCREAMS | 0:11:16 | 0:11:19 | |
Oh, my God! | 0:11:19 | 0:11:20 | |
Could you please let me out? | 0:11:21 | 0:11:23 | |
Please let me out. | 0:11:23 | 0:11:24 | |
What types of things are you capturing people doing? | 0:11:26 | 0:11:28 | |
What are the habits that people have? | 0:11:28 | 0:11:30 | |
You know, it's really all over the map. | 0:11:30 | 0:11:32 | |
You can see the sequence, | 0:11:32 | 0:11:33 | |
but you can also see the pattern. | 0:11:33 | 0:11:35 | |
Some people habitually will roll a stop sign. | 0:11:35 | 0:11:38 | |
They'll pull up and they think, "Oh, I stopped," | 0:11:38 | 0:11:41 | |
and then you'll see, over the course of a week or a month, | 0:11:41 | 0:11:44 | |
ten times they thought they were stopping. | 0:11:44 | 0:11:46 | |
And meanwhile, you watch when they thought they stopped, | 0:11:46 | 0:11:49 | |
a lorry runs right through the intersection | 0:11:49 | 0:11:51 | |
and they almost get sideswiped. | 0:11:51 | 0:11:52 | |
For the first time, we're able to see the near-misses. | 0:11:52 | 0:11:56 | |
There are reckoned to be ten of them for every collision. | 0:11:56 | 0:11:59 | |
I want to see what DriveCam have caught of people on their phones. | 0:11:59 | 0:12:03 | |
He's texting away. | 0:12:05 | 0:12:07 | |
I'm looking at him but I'm going to...ooh! Ooh! | 0:12:10 | 0:12:13 | |
Brake! Oh, oh... | 0:12:13 | 0:12:15 | |
Yeah, so in our world, | 0:12:15 | 0:12:18 | |
when we analyse that video, we see two things. | 0:12:18 | 0:12:20 | |
We see certainly he was texting, | 0:12:20 | 0:12:22 | |
but it wasn't just the fact that he was texting. | 0:12:22 | 0:12:24 | |
-Did you see what his eyes and his head were doing? -Yeah. | 0:12:24 | 0:12:27 | |
We'll stop right there. | 0:12:27 | 0:12:29 | |
So head and eyes down. | 0:12:29 | 0:12:30 | |
-He's in a neighbourhood. Kids playing. -I know. | 0:12:30 | 0:12:33 | |
And he's really close | 0:12:33 | 0:12:35 | |
-to that car in front of him. -Absolutely. | 0:12:35 | 0:12:37 | |
People do that all the time. | 0:12:37 | 0:12:38 | |
They think they know what they're doing. | 0:12:38 | 0:12:40 | |
"Oh, yeah, got my eye on the car in front, | 0:12:40 | 0:12:42 | |
-"It's fine, I'll just send this text." -Absolutely. | 0:12:42 | 0:12:44 | |
That could have been worse than it was. | 0:12:44 | 0:12:46 | |
But sometimes that moment's distraction can be disastrous. | 0:12:46 | 0:12:50 | |
These videos are released by those involved | 0:12:55 | 0:12:58 | |
when no-one was seriously injured. | 0:12:58 | 0:12:59 | |
They can be an eye-opener on the causes of accidents. | 0:12:59 | 0:13:02 | |
But right now, this technology is in very few vehicles here. | 0:13:05 | 0:13:08 | |
All the information about an accident | 0:13:08 | 0:13:10 | |
is gathered after the event by hand. | 0:13:10 | 0:13:14 | |
At the scene of all collisions, | 0:13:14 | 0:13:16 | |
the British police fill in a form called Stats 19. | 0:13:16 | 0:13:20 | |
They look for contributory factors to the accident | 0:13:20 | 0:13:23 | |
and can tick up to six boxes. | 0:13:23 | 0:13:26 | |
The options include things like | 0:13:26 | 0:13:28 | |
poor road surface or mobile phone use. | 0:13:28 | 0:13:30 | |
These forms become the basis for the accident statistics | 0:13:30 | 0:13:35 | |
and by far the most common factor is, "Failed to look properly." | 0:13:35 | 0:13:40 | |
It contributes to nearly half of all accidents. | 0:13:40 | 0:13:45 | |
But accidents rarely have a single cause. | 0:13:45 | 0:13:48 | |
Almost always, a number of factors come together. | 0:13:48 | 0:13:52 | |
Like in this situation. | 0:13:54 | 0:13:56 | |
Distracted by the stereo... STEREO BLASTS | 0:13:56 | 0:13:59 | |
..together with another driver not paying attention... | 0:13:59 | 0:14:02 | |
..and no seat belt. | 0:14:04 | 0:14:06 | |
So being distracted when you're in a demanding situation | 0:14:06 | 0:14:10 | |
will hugely increase your chances of a crash. | 0:14:10 | 0:14:13 | |
But how about if your driving ability is lowered or impaired? | 0:14:13 | 0:14:18 | |
That could be because you are ill or disabled, | 0:14:18 | 0:14:20 | |
because you're tired, or because you've been taking drugs. | 0:14:20 | 0:14:24 | |
But top of the list of reasons recorded | 0:14:24 | 0:14:26 | |
for a driver's ability being impaired | 0:14:26 | 0:14:30 | |
is because they've been drinking. | 0:14:30 | 0:14:32 | |
Now it's my turn to go out with Mick. | 0:14:32 | 0:14:34 | |
We're going to see if we can get a first-hand look at an accident | 0:14:34 | 0:14:38 | |
involving an impaired driver. | 0:14:38 | 0:14:40 | |
Dispatch, whereabouts did that happen? | 0:14:42 | 0:14:44 | |
There's been a fail to stop. | 0:14:53 | 0:14:54 | |
It's a drunk driver, driven off from the police | 0:14:54 | 0:14:57 | |
and he's crashed his car. | 0:14:57 | 0:14:59 | |
SIREN BLARES | 0:14:59 | 0:15:02 | |
It's an incident involving | 0:15:07 | 0:15:08 | |
this vehicle just up here in front of the police car. | 0:15:08 | 0:15:10 | |
I believe it's been seen by a police vehicle in Doncaster. | 0:15:10 | 0:15:14 | |
It's tried to stop the vehicle and it's driven off at speed. | 0:15:14 | 0:15:17 | |
The vehicle's come down this road opposite, | 0:15:17 | 0:15:19 | |
the driver's obviously come straight on, as you can see, | 0:15:19 | 0:15:22 | |
where he's collided with the fence. | 0:15:22 | 0:15:25 | |
So he's been arrested, taken to the police station | 0:15:25 | 0:15:27 | |
and at the police station he'll give some more breath samples. | 0:15:27 | 0:15:30 | |
Later, he'll be prosecuted for several offences, | 0:15:30 | 0:15:33 | |
including drink-driving and driving without insurance. | 0:15:33 | 0:15:36 | |
How common is this kind of accident? | 0:15:36 | 0:15:39 | |
In terms of these minor collisions where people have had a drink, | 0:15:39 | 0:15:43 | |
quite regular. | 0:15:43 | 0:15:44 | |
-Had there been anyone coming... -Yeah, that would be really serious. | 0:15:44 | 0:15:47 | |
..could be a pedal cyclist, it's people going home at this time. | 0:15:47 | 0:15:50 | |
If he'd hit them, then we'd be looking at a fatality or something. | 0:15:50 | 0:15:54 | |
Numerous campaigns have helped | 0:15:54 | 0:15:57 | |
to halve drink-drive casualties in ten years. | 0:15:57 | 0:16:03 | |
Sir, would you mind stepping out of the car and doing a breath test? | 0:16:03 | 0:16:06 | |
Look, you had two pints, you're over the limit, | 0:16:06 | 0:16:08 | |
that's a twelve-month ban and a criminal record. | 0:16:08 | 0:16:10 | |
But a newer target is something most drivers admit they've done. | 0:16:10 | 0:16:14 | |
Driving when tired. | 0:16:14 | 0:16:16 | |
If you fall asleep at the wheel, you'll put your life in danger. | 0:16:17 | 0:16:20 | |
Many of us have struggled to stay awake. | 0:16:20 | 0:16:23 | |
I literally felt like I'd closed my eyes for about five seconds, | 0:16:23 | 0:16:27 | |
but my car swerved. It kind of shook me up. | 0:16:27 | 0:16:30 | |
I just was falling asleep. | 0:16:30 | 0:16:33 | |
I had to keep slapping myself in the face to stay awake. | 0:16:33 | 0:16:36 | |
The wheels kind of went over the cats-eyes a bit | 0:16:36 | 0:16:39 | |
and kind of jolted me, and that's when I thought, | 0:16:39 | 0:16:41 | |
"Right, I've got to pull off now." | 0:16:41 | 0:16:43 | |
I hit the edge of the road, the hard shoulder, | 0:16:43 | 0:16:45 | |
and I woke up instantly. | 0:16:45 | 0:16:47 | |
Suddenly, you come to, | 0:16:47 | 0:16:48 | |
and you're very acutely aware that you are driving a car. | 0:16:48 | 0:16:52 | |
Transport officials estimate tiredness may be a factor | 0:16:53 | 0:16:57 | |
in as many much as 20% of all accidents. | 0:16:57 | 0:17:00 | |
But of course, it isn't illegal to drive when you're a little tired, | 0:17:00 | 0:17:04 | |
or, for that matter, when you're below the alcohol limit. | 0:17:04 | 0:17:08 | |
We are going to look at some everyday situations. | 0:17:08 | 0:17:11 | |
We're going to compare the effects of tiredness and alcohol. | 0:17:11 | 0:17:15 | |
So, not over the limit, but a bit tipsy. | 0:17:15 | 0:17:17 | |
Not staying up all night, just a few hours sleep. | 0:17:17 | 0:17:21 | |
Maybe you've had a couple of drinks after work. | 0:17:21 | 0:17:23 | |
The sort of thing every new parent might recognise. | 0:17:23 | 0:17:26 | |
So how dangerous is that, really? | 0:17:26 | 0:17:29 | |
We're in Nottingham. | 0:17:31 | 0:17:32 | |
Tomorrow we're heading for the driving simulator | 0:17:32 | 0:17:34 | |
at the university's Accident Research Centre. | 0:17:34 | 0:17:36 | |
And while Justin's tucked up in bed, I've been sleep-deprived. | 0:17:36 | 0:17:41 | |
Check out my PJs! | 0:17:41 | 0:17:43 | |
See you in three hours. | 0:17:43 | 0:17:44 | |
I'll tell you something for nothing. | 0:17:47 | 0:17:49 | |
Three hours is NOT enough sleep! | 0:17:49 | 0:17:54 | |
SHE GROANS | 0:17:54 | 0:17:56 | |
Are you feeling tired? | 0:17:58 | 0:18:00 | |
This is brilliant! | 0:18:00 | 0:18:01 | |
-I think this might be it. -Is this it? | 0:18:01 | 0:18:03 | |
That looks really high-tech, doesn't it? | 0:18:03 | 0:18:05 | |
Like Joe 90 or something! | 0:18:05 | 0:18:07 | |
-Yeah, it's... -Get in the pod! | 0:18:07 | 0:18:09 | |
'Dr David Crundall studies risky behaviour amongst drivers. | 0:18:09 | 0:18:12 | |
'He will be testing us.' | 0:18:12 | 0:18:15 | |
-Pleased to meet you, David. Anita. -I'm Justin, very good to meet you. | 0:18:15 | 0:18:18 | |
-I've had three hours' sleep. -Fabulous! | 0:18:18 | 0:18:21 | |
-You're looking very good on it! -I feel OK, actually. | 0:18:21 | 0:18:23 | |
She seems very lively. Doesn't seem to have affected you at all. | 0:18:23 | 0:18:26 | |
Would you drive to work like this quite happily? | 0:18:26 | 0:18:29 | |
Yeah, if I had to, I would. I'm being honest. I would do. | 0:18:29 | 0:18:32 | |
After three hours' sleep, feeling like this, I'd get up and drive. | 0:18:32 | 0:18:35 | |
Maybe we can see if that really is the case. | 0:18:35 | 0:18:37 | |
-If that's a wise thing to do. -Yeah. | 0:18:37 | 0:18:39 | |
And I get to have a drink and watch you! | 0:18:39 | 0:18:40 | |
-That's not so bad, is it?! -Yeah, he's drinking on the job! | 0:18:40 | 0:18:43 | |
Dearie me! That doesn't sound like work! | 0:18:43 | 0:18:45 | |
It doesn't sound like work. | 0:18:45 | 0:18:47 | |
So we get to test the alcohol issue as well. | 0:18:47 | 0:18:49 | |
-Yeah. -Head to head. | 0:18:49 | 0:18:50 | |
Inside the dome is a complete car. | 0:18:50 | 0:18:54 | |
Justin's the first on the road. | 0:18:54 | 0:18:56 | |
He gets a go totally sober, | 0:18:56 | 0:18:58 | |
so that we can compare his driving later. | 0:18:58 | 0:19:02 | |
It looks great. It looks really space-age! | 0:19:02 | 0:19:04 | |
So facing straight ahead, | 0:19:04 | 0:19:07 | |
and now follow the white dot on the screen, please. | 0:19:07 | 0:19:10 | |
The system will monitor our eyes to see where we're looking on the road, | 0:19:10 | 0:19:13 | |
and judge whether our vision is affected. | 0:19:13 | 0:19:16 | |
If you're looking in the right place, | 0:19:16 | 0:19:18 | |
you're processing what you're looking at, | 0:19:18 | 0:19:20 | |
-then you're less likely to have crashes. -Right. | 0:19:20 | 0:19:23 | |
# I'm on the road again Na-na-na... # | 0:19:23 | 0:19:25 | |
Oh, here we go. Yay! | 0:19:25 | 0:19:28 | |
I'm staying in the hard shoulder for the moment, while I get used to it. | 0:19:28 | 0:19:32 | |
We want you to really get a feel for the way the car drives, | 0:19:32 | 0:19:35 | |
the way the car handles. | 0:19:35 | 0:19:37 | |
You have managed, however, to already exceed the speed limit. | 0:19:37 | 0:19:41 | |
Oh, really? I'm only going 60, mate! | 0:19:41 | 0:19:43 | |
-He's quite safe, isn't he? He's doing OK? -Yep. | 0:19:43 | 0:19:45 | |
What we can take from this at the moment | 0:19:45 | 0:19:47 | |
is he's actually dealing very, very well | 0:19:47 | 0:19:49 | |
with the simulated virtual environment here. | 0:19:49 | 0:19:51 | |
-Right, so if you'd just like to go straight up. -I'm really tired. | 0:19:51 | 0:19:55 | |
While I get settled into the simulator, | 0:19:55 | 0:19:57 | |
Justin's prepping for his test. | 0:19:57 | 0:19:58 | |
There we go. It's quite strong. | 0:19:58 | 0:20:01 | |
Maybe a little bit. | 0:20:01 | 0:20:03 | |
Wake up! | 0:20:03 | 0:20:04 | |
It doesn't feel right, you know. | 0:20:06 | 0:20:08 | |
Drinking in the laboratory. | 0:20:08 | 0:20:10 | |
'We're each doing a short drive, | 0:20:10 | 0:20:12 | |
'the sort of thing some of us might well attempt | 0:20:12 | 0:20:15 | |
'when feeling this tired. | 0:20:15 | 0:20:17 | |
'Can I drive normally for just 15 minutes?' | 0:20:17 | 0:20:20 | |
I'm having to really concentrate hard. | 0:20:20 | 0:20:23 | |
This is actually quite scary. | 0:20:23 | 0:20:25 | |
Her speed is round about 60mph. | 0:20:25 | 0:20:28 | |
Her steering is pretty central. | 0:20:28 | 0:20:30 | |
So can you tell any impairment now, looking at this? | 0:20:30 | 0:20:33 | |
There's a marked difference between how you were performing | 0:20:33 | 0:20:37 | |
when you were keeping lane maintenance, | 0:20:37 | 0:20:38 | |
compared to how Anita's doing right at the moment. | 0:20:38 | 0:20:41 | |
Oh, yeah. She's right on the edge of the lane. | 0:20:41 | 0:20:43 | |
So she is varying actually quite a bit there. | 0:20:43 | 0:20:45 | |
She's almost touching the hard shoulder there. | 0:20:45 | 0:20:48 | |
And this is, what? Eight minutes into her drive. | 0:20:48 | 0:20:50 | |
Yeah, it's not long, is it? | 0:20:50 | 0:20:52 | |
No, she's all over the place. | 0:20:52 | 0:20:53 | |
To use the technical term! | 0:20:53 | 0:20:55 | |
Oh, I hate this! It's horrible! | 0:20:55 | 0:20:58 | |
So I want to know how I did on just three hours sleep. | 0:20:58 | 0:21:01 | |
Literally, half an hour beforehand, you were saying, | 0:21:01 | 0:21:05 | |
"I don't feel any problem. I could drive like this." | 0:21:05 | 0:21:07 | |
So we're seeing these effects can come on very quickly, | 0:21:07 | 0:21:10 | |
and also the level of introspection drivers have | 0:21:10 | 0:21:12 | |
about their susceptibility to these effects... | 0:21:12 | 0:21:15 | |
How much they understand about their own abilities? | 0:21:15 | 0:21:17 | |
How likely they are to have these things | 0:21:17 | 0:21:19 | |
-are often underestimated. -They have no idea. | 0:21:19 | 0:21:21 | |
We think we're better drivers than we actually are, basically? | 0:21:21 | 0:21:24 | |
Most people will claim that they are better than average, certainly. | 0:21:24 | 0:21:27 | |
Now it's my turn. | 0:21:27 | 0:21:29 | |
Just one more swig, and I am feeling tipsy. | 0:21:29 | 0:21:32 | |
But I'm still well under the legal limit of 35 on this breathalyser. | 0:21:32 | 0:21:38 | |
Britain and Malta have the highest limits in Europe. | 0:21:38 | 0:21:41 | |
Drinking ANY alcohol and driving | 0:21:41 | 0:21:43 | |
is against the law in some European countries. | 0:21:43 | 0:21:46 | |
Research suggests even small amounts can affect your ability. | 0:21:46 | 0:21:50 | |
So how safe am I? | 0:21:50 | 0:21:51 | |
So he's being very cautious right from the start. | 0:21:51 | 0:21:54 | |
We're seeing a 20mph drive. | 0:21:54 | 0:21:56 | |
Doesn't want to get caught. | 0:21:56 | 0:21:59 | |
I don't feel that drunk, but I do feel... | 0:22:01 | 0:22:04 | |
..a little bit disorientated. | 0:22:05 | 0:22:07 | |
There seems to be a lot going on. | 0:22:07 | 0:22:09 | |
I think he clipped the kerb there and that's sent him | 0:22:12 | 0:22:16 | |
-wiggling all over the place. -Oh! Whoa! | 0:22:16 | 0:22:19 | |
Dear me! I was just thinking, | 0:22:19 | 0:22:22 | |
"I'm controlling this really well," when I hit the kerb there. | 0:22:22 | 0:22:25 | |
I don't feel completely in control of this. | 0:22:26 | 0:22:29 | |
There we go. He's admitting it himself. | 0:22:29 | 0:22:31 | |
Many people who are under the influence think | 0:22:31 | 0:22:33 | |
that they can actually control it, | 0:22:33 | 0:22:35 | |
that they can be cautious, | 0:22:35 | 0:22:37 | |
that they can avoid any particular hazard that's on the roadway. | 0:22:37 | 0:22:40 | |
There's a car hidden behind this bus that's going to pull out now. | 0:22:40 | 0:22:43 | |
Oh! | 0:22:43 | 0:22:45 | |
He braked in time. | 0:22:46 | 0:22:47 | |
Where are you off to? | 0:22:47 | 0:22:49 | |
You still showed errors of driving performance | 0:22:49 | 0:22:52 | |
which could have been problematic if you were on the real road. | 0:22:52 | 0:22:57 | |
And this is UNDER the legal limit. | 0:22:57 | 0:23:00 | |
You know, alcohol is a depressant. | 0:23:00 | 0:23:03 | |
Fatigue is obviously going to reduce attention, | 0:23:03 | 0:23:07 | |
and sometimes you can see very, very similar effects from the two. | 0:23:07 | 0:23:11 | |
So in terms of risk, how does tiredness compare with drinking? | 0:23:11 | 0:23:17 | |
Well, one recent study has shown that a three-hour nocturnal drive | 0:23:17 | 0:23:22 | |
with somebody who is fatigued | 0:23:22 | 0:23:24 | |
can be as risky as driving at the legal maximum. | 0:23:24 | 0:23:28 | |
Breathalysers and blood tests have proven effective | 0:23:28 | 0:23:31 | |
in the fight to cut drink-driving. | 0:23:31 | 0:23:34 | |
Tiredness may be harder to tackle. | 0:23:34 | 0:23:36 | |
Here we have a complex background. | 0:23:45 | 0:23:48 | |
For more than 30 years, Professor Frank McKenna | 0:23:48 | 0:23:50 | |
has studied traffic accidents. | 0:23:50 | 0:23:52 | |
He's one of Britain's leading experts. | 0:23:52 | 0:23:55 | |
The problem is, sleep is not optional. | 0:23:55 | 0:23:58 | |
When you deprive people of sleep, | 0:23:58 | 0:24:01 | |
then the one thing that is guaranteed to happen | 0:24:01 | 0:24:04 | |
is they will sleep. And the problem is, | 0:24:04 | 0:24:08 | |
are they at the wheel of a car while doing that sleep? | 0:24:08 | 0:24:12 | |
so we need to move away from this 24/7 notion | 0:24:12 | 0:24:18 | |
that we can treat sleep as optional. It's a biological phenomena | 0:24:18 | 0:24:22 | |
that's basic and it's necessary. | 0:24:22 | 0:24:24 | |
So many trucks parked up down there. It's enormous. | 0:24:30 | 0:24:35 | |
I'm meeting HGV driver Colin Wrighton, who knows first-hand | 0:24:35 | 0:24:37 | |
the possible consequences of fatigue and driving. | 0:24:37 | 0:24:42 | |
-REPORTER: -An horrific pile up on the M62 near Liverpool. | 0:24:42 | 0:24:45 | |
The driver of the lorry had fallen asleep at the wheel. | 0:24:45 | 0:24:48 | |
He collided with a line of stationary traffic. At the front, | 0:24:48 | 0:24:52 | |
a Nissan Micra was crushed under a pick-up truck. | 0:24:52 | 0:24:55 | |
Six years ago, with Colin asleep, | 0:24:55 | 0:24:57 | |
his truck wandered onto the hard shoulder | 0:24:57 | 0:25:00 | |
and then ploughed into a queue of stationary traffic, | 0:25:00 | 0:25:02 | |
killing one of the car drivers, 25-year-old Toby Tweddell. | 0:25:02 | 0:25:06 | |
The first car had flipped, and where was Toby's car? Was that...? | 0:25:09 | 0:25:12 | |
I'm not sure where he was in the queue but he must have been | 0:25:12 | 0:25:14 | |
a bit further down, so I'm not sure what his car was. | 0:25:14 | 0:25:19 | |
And he was the only person to have died? | 0:25:19 | 0:25:21 | |
Yeah. I've had a lot of, er... a lot of, er, counselling over that | 0:25:21 | 0:25:26 | |
because it, you know, it's a hard thing to happen | 0:25:26 | 0:25:28 | |
because it's unfortunate that he passed away, so I... | 0:25:28 | 0:25:34 | |
I still think about it every day, and the family. | 0:25:34 | 0:25:37 | |
Colin wants to meet Toby's parents. | 0:25:38 | 0:25:41 | |
So far, they can't bear to face the man who killed their son. | 0:25:41 | 0:25:44 | |
But they do believe he's remorseful. | 0:25:44 | 0:25:48 | |
His accident wasn't a straightforward case of fatigue. | 0:25:48 | 0:25:52 | |
It's estimated that as many as 4% of men and 2% of women | 0:25:52 | 0:25:57 | |
suffer from a condition called sleep apnoea, largely undiagnosed. | 0:25:57 | 0:26:01 | |
It affects breathing at night, | 0:26:01 | 0:26:03 | |
and the sufferer won't be aware that they haven't slept properly, | 0:26:03 | 0:26:07 | |
meaning they can easily fall asleep during the day. | 0:26:07 | 0:26:10 | |
The only way I can explain it is if you've ever been on the motorway | 0:26:10 | 0:26:14 | |
and you've gone past something and you've thought to yourself, | 0:26:14 | 0:26:18 | |
"How did I get there?" You know? | 0:26:18 | 0:26:21 | |
That's what the sleep apnoea was like. I didn't know... | 0:26:21 | 0:26:25 | |
One minute you were there and the next minute... | 0:26:25 | 0:26:27 | |
But you don't feel tired, that's the thing about it. | 0:26:27 | 0:26:29 | |
Colin was never prosecuted for dangerous driving | 0:26:31 | 0:26:33 | |
because he'd already made three visits to his GP | 0:26:33 | 0:26:36 | |
complaining of chronic fatigue. | 0:26:36 | 0:26:40 | |
It's somebody's life that's gone | 0:26:40 | 0:26:42 | |
that didn't need to have gone, you know, | 0:26:42 | 0:26:45 | |
and I'm more annoyed at the doctors not picking up on it and saying | 0:26:45 | 0:26:48 | |
"we'll send you to a clinic, a sleep clinic, | 0:26:48 | 0:26:50 | |
"to somebody who knows about the sleep disorders." | 0:26:50 | 0:26:53 | |
And that's why a lot of doctors need to be aware of it now. | 0:26:53 | 0:26:57 | |
One estimate puts the number of HGV drivers | 0:26:57 | 0:27:00 | |
with a degree of sleep apnoea on our roads at nearly 140,000. | 0:27:00 | 0:27:06 | |
Colin is still driving trucks | 0:27:06 | 0:27:08 | |
because he's now considered safe as he is undergoing treatment. | 0:27:08 | 0:27:11 | |
He spends much of his time campaigning to raise awareness | 0:27:11 | 0:27:14 | |
amongst other drivers. | 0:27:14 | 0:27:16 | |
Sleep apnoea is a silent killer and people need to know more about it. | 0:27:18 | 0:27:22 | |
We've been looking at some of the key factors | 0:27:24 | 0:27:27 | |
which can make us more prone to crash. | 0:27:27 | 0:27:30 | |
But apart from these, statistics on collisions are broken down by sex | 0:27:30 | 0:27:35 | |
and age and looking this way can give us insight | 0:27:35 | 0:27:38 | |
into the risks presented by different groups of drivers. | 0:27:38 | 0:27:42 | |
So, let's start with that eternal question - | 0:27:42 | 0:27:44 | |
who are the better drivers, men or women? | 0:27:44 | 0:27:48 | |
Absolutely no contest whatsoever, | 0:27:48 | 0:27:51 | |
males are complete twats as drivers. | 0:27:51 | 0:27:53 | |
Females, I think they're the worst drivers in the world. | 0:27:53 | 0:27:57 | |
Watch out, I've got the handbag ready. | 0:27:57 | 0:28:01 | |
Females are better than me, to be honest, | 0:28:01 | 0:28:03 | |
especially at reversing. I crash into everything. | 0:28:03 | 0:28:05 | |
Men are more efficient when it comes to getting in tight spots | 0:28:05 | 0:28:09 | |
and getting out. | 0:28:09 | 0:28:11 | |
Yeah, you know the woman driver, | 0:28:11 | 0:28:12 | |
they are the more safer driver than the man driver. | 0:28:12 | 0:28:15 | |
I mean, my wife's just taken her 53rd lesson and on her third test. | 0:28:15 | 0:28:20 | |
Confused! | 0:28:22 | 0:28:23 | |
Since the early days of motoring | 0:28:23 | 0:28:27 | |
there have been strong stereotypes of male and female drivers. | 0:28:27 | 0:28:30 | |
I'm getting out. You can leave me here. | 0:28:30 | 0:28:32 | |
You're mad! We could be killed. | 0:28:32 | 0:28:34 | |
Could there be some truth behind the stereotype? | 0:28:34 | 0:28:37 | |
SCREECHING TYRES | 0:28:37 | 0:28:39 | |
This piece of research has really got me thinking. It looks into - | 0:28:39 | 0:28:43 | |
now this is a big one - | 0:28:43 | 0:28:44 | |
the differences between male and female drivers. | 0:28:44 | 0:28:47 | |
Not only do we drive differently, but according to this, | 0:28:47 | 0:28:51 | |
we also crash differently. Men have more accidents on bends, | 0:28:51 | 0:28:55 | |
but women have more right-turning accidents. | 0:28:55 | 0:28:58 | |
Men have more overtaking accidents | 0:28:58 | 0:29:00 | |
but women have more left-turning accidents. | 0:29:00 | 0:29:03 | |
So does that make the men worse or the women worse? | 0:29:03 | 0:29:06 | |
And why is there even a difference? | 0:29:06 | 0:29:08 | |
First up, women. | 0:29:10 | 0:29:11 | |
In Nottingham, Dr Crundall and his team of psychologists | 0:29:13 | 0:29:17 | |
are trying to get to the bottom of why women crash more at junctions. | 0:29:17 | 0:29:21 | |
We know that there are some things that men and women differ on. | 0:29:22 | 0:29:26 | |
Better or worse is perhaps the wrong term. We should say that there are | 0:29:26 | 0:29:29 | |
qualitative differences in people's abilities to do certain tasks | 0:29:29 | 0:29:32 | |
and that's just a function of the way the brain is made up | 0:29:32 | 0:29:35 | |
-in the different genders. -You think we'll find real differences | 0:29:35 | 0:29:38 | |
between men and women? | 0:29:38 | 0:29:39 | |
Well, we know that some of the spatial tests we're using today | 0:29:39 | 0:29:42 | |
have found gender differences in the past. The question is | 0:29:42 | 0:29:45 | |
whether we can relate that back to driving differences. | 0:29:45 | 0:29:48 | |
-It'll be really interesting. -That's going to be great. | 0:29:48 | 0:29:50 | |
-Let's look round. -Sure. -I'm quite intrigued by this. | 0:29:50 | 0:29:53 | |
The first test was to find out how long they've been driving, | 0:29:53 | 0:29:56 | |
how often they drive and how much of a liability they are | 0:29:56 | 0:30:02 | |
to the rest of us. | 0:30:02 | 0:30:03 | |
To further examine their driving ability | 0:30:03 | 0:30:06 | |
our volunteers will take part | 0:30:06 | 0:30:08 | |
in a hazard prediction test. | 0:30:08 | 0:30:10 | |
-Oh, spot the hazard? -It goes black before the hazard occurs. | 0:30:10 | 0:30:13 | |
So she's got to try and predict what's going to happen, | 0:30:13 | 0:30:16 | |
as if you're driving. | 0:30:16 | 0:30:17 | |
Yeah. | 0:30:20 | 0:30:22 | |
So there you go, there was a hazard hidden in that video. | 0:30:23 | 0:30:26 | |
Have another go. Did you see the women being pushed? | 0:30:26 | 0:30:32 | |
Their driving skills assessed, | 0:30:32 | 0:30:34 | |
the team now hope to link those to their spatial ability. | 0:30:34 | 0:30:38 | |
That's the ability to judge what's going on around you, | 0:30:38 | 0:30:40 | |
how fast, and where. | 0:30:40 | 0:30:44 | |
Very important at junctions. | 0:30:44 | 0:30:47 | |
If you're good at this task then you have more resources, | 0:30:47 | 0:30:49 | |
if you like, to spend doing other stuff. If you're not so good | 0:30:49 | 0:30:53 | |
at rotating space, thinking about space, then you might have too much | 0:30:53 | 0:30:56 | |
going on at the same time and that could be why | 0:30:56 | 0:30:58 | |
you're more liable to make mistakes or have accidents | 0:30:58 | 0:31:01 | |
or do these kind of things. | 0:31:01 | 0:31:03 | |
These tests of spatial ability are already well established, | 0:31:03 | 0:31:06 | |
and men tend to do better at them. | 0:31:06 | 0:31:08 | |
I'd like you to place the arrow somewhere on the circle | 0:31:08 | 0:31:11 | |
in the direction where you think this landmark is. | 0:31:11 | 0:31:13 | |
So if the link to driving ability can be made, we may get closer | 0:31:13 | 0:31:17 | |
to understanding who is the better driver. | 0:31:17 | 0:31:21 | |
-That's the Playhouse there... -Ah, yes. | 0:31:21 | 0:31:24 | |
Probably slightly more that way. | 0:31:24 | 0:31:26 | |
-What are you doing with this? -Checking my compass. | 0:31:26 | 0:31:29 | |
You're not allowed to do that! | 0:31:29 | 0:31:31 | |
-He's got his compass out! -It seemed like a good idea. | 0:31:31 | 0:31:33 | |
It is, but it's about kind of showing your skills accurately. | 0:31:33 | 0:31:36 | |
By the end of the day, the team have tested over 35 people. | 0:31:36 | 0:31:39 | |
So what have we found out about women drivers | 0:31:40 | 0:31:44 | |
and collisions at junctions? | 0:31:44 | 0:31:46 | |
Well, we started off with the idea | 0:31:46 | 0:31:48 | |
that spatial ability should be linked | 0:31:48 | 0:31:51 | |
to driving ability and that might explain why women have certain types | 0:31:51 | 0:31:56 | |
of accidents compared to men. It's just a one-day study. | 0:31:56 | 0:31:58 | |
There is some evidence there to link spatial ability with driving, | 0:31:58 | 0:32:03 | |
so we want to pursue that | 0:32:03 | 0:32:04 | |
and see if we can get those gender differences | 0:32:04 | 0:32:08 | |
further down the line with a larger sample. | 0:32:08 | 0:32:10 | |
So there are differences in the way men and women see the world | 0:32:10 | 0:32:14 | |
which can affect the way we drive and therefore the way we crash. | 0:32:14 | 0:32:18 | |
Men seem to be ahead at the moment, but what about their accidents? | 0:32:18 | 0:32:22 | |
Why do they run off the road more and have more head-on collisions? | 0:32:22 | 0:32:25 | |
Professor McKenna has studied this for years. | 0:32:25 | 0:32:28 | |
Males choose to drive faster, | 0:32:30 | 0:32:31 | |
they choose to drive closer to the vehicle in front, | 0:32:31 | 0:32:35 | |
they're more involved in driving violations and they're prepared | 0:32:35 | 0:32:39 | |
to drive for longer periods without a break. | 0:32:39 | 0:32:42 | |
It sounds like men take the bigger risks. | 0:32:42 | 0:32:45 | |
But we still don't have the answer to the fundamental question. | 0:32:45 | 0:32:48 | |
Which of us, statistically... | 0:32:48 | 0:32:51 | |
-Men or women... -..are the better drivers? | 0:32:51 | 0:32:54 | |
On the simple criterion of being able to stay alive on the roads, | 0:32:54 | 0:32:59 | |
then we'd have to say that women are better drivers than men. | 0:32:59 | 0:33:03 | |
Women are below men, consistently, across all ages except 35 to 54 | 0:33:03 | 0:33:11 | |
when the two groups meet. | 0:33:11 | 0:33:13 | |
But basically women have fewer fatal accidents than men. | 0:33:13 | 0:33:16 | |
And it's not just fatalities. | 0:33:16 | 0:33:18 | |
Overall, men have 62% of accidents. Even allowing for the extra miles | 0:33:18 | 0:33:23 | |
they drive, they are having seven accidents to every five women have. | 0:33:23 | 0:33:27 | |
So we are saying that women are better drivers than men. | 0:33:29 | 0:33:35 | |
But where are the differences we have observed coming from? | 0:33:35 | 0:33:37 | |
I've come to the Neuroscience Institute | 0:33:37 | 0:33:41 | |
at University College London, where they study men and women's brains | 0:33:41 | 0:33:45 | |
in relation to risky activity. | 0:33:45 | 0:33:48 | |
The interesting thing, looking at the raw data, | 0:33:48 | 0:33:50 | |
is it's completely contrary to most people's expectations | 0:33:50 | 0:33:53 | |
and women seem to be significantly better drivers than men | 0:33:53 | 0:33:56 | |
-on almost every measure. -I think that's more, as much as anything, | 0:33:56 | 0:34:00 | |
an indication that stereotypes are not always right and actually | 0:34:00 | 0:34:03 | |
you can't interpret everything based on a stereotype. You've got to start | 0:34:03 | 0:34:08 | |
finding evidence in order to be able to really show | 0:34:08 | 0:34:11 | |
-whether that's right or wrong. -So why might it be | 0:34:11 | 0:34:13 | |
that women are better at driving than men? | 0:34:13 | 0:34:16 | |
Beyond the actual size differences in the brain, | 0:34:16 | 0:34:20 | |
men have slightly bigger brains but men tend to be slightly bigger... | 0:34:20 | 0:34:23 | |
beyond that there aren't any clear, defined differences | 0:34:23 | 0:34:26 | |
between the actual structure of a man's brain and a woman's brain, | 0:34:26 | 0:34:29 | |
and yet there are differences in the way that they behave, so that might | 0:34:29 | 0:34:34 | |
be some of the more subtle differences in the brain | 0:34:34 | 0:34:36 | |
that we aren't completely sure about yet, but it's much more likely to be | 0:34:36 | 0:34:39 | |
an interaction of the brain, the behaviour and culture we live in. | 0:34:39 | 0:34:43 | |
So from very early on, intentionally or otherwise, | 0:34:43 | 0:34:48 | |
we tend to treat young boys and young girls quite differently | 0:34:48 | 0:34:50 | |
and the way you behave and the external input to the brain | 0:34:50 | 0:34:55 | |
hugely impact on how the brain develops. | 0:34:55 | 0:34:56 | |
So you say we need to get out and get some evidence. | 0:34:56 | 0:34:59 | |
I say you trust women drivers more. | 0:34:59 | 0:35:00 | |
And the difference between male and female drivers | 0:35:04 | 0:35:07 | |
is biggest among the under 25s. I was shocked to learn | 0:35:07 | 0:35:11 | |
that the leading cause of death for men of that age | 0:35:11 | 0:35:14 | |
is traffic accidents. | 0:35:14 | 0:35:16 | |
-NEWSCASTER: -An 18-year-old driver, | 0:35:16 | 0:35:17 | |
in whose car four teenage girls were killed | 0:35:17 | 0:35:19 | |
when he crashed on a mountain road.... | 0:35:19 | 0:35:21 | |
-REPORTER: -'Police have named five of the six young people killed | 0:35:21 | 0:35:24 | |
'in a road accident in Leicestershire yesterday.' | 0:35:24 | 0:35:26 | |
-NEWSCASTER: -'Two men died | 0:35:26 | 0:35:27 | |
'after a car crashed into trees in Shropshire...' | 0:35:27 | 0:35:29 | |
Paralympic gold medallist Josie Pearson was one of five young people | 0:35:29 | 0:35:34 | |
travelling to Newport. | 0:35:34 | 0:35:35 | |
My boyfriend was what they call a boy racer, he liked speed... | 0:35:35 | 0:35:42 | |
He took risks probably when he shouldn't have done. | 0:35:43 | 0:35:48 | |
Josie's boyfriend was trying to overtake a car on an A road. | 0:35:48 | 0:35:52 | |
We used to tell him "Why do you do it? Don't drive so fast," | 0:35:52 | 0:35:56 | |
but he obviously got a kick out of it, a thrill out of it. | 0:35:56 | 0:35:59 | |
They ended up in a head-on collision on a blind bend. | 0:35:59 | 0:36:03 | |
My boyfriend died on impact. The guy that was sat in front of me | 0:36:04 | 0:36:07 | |
was wearing his seatbelt. Unfortunately, I wasn't. | 0:36:07 | 0:36:11 | |
So my best friend, she had a lot of internal damage | 0:36:11 | 0:36:15 | |
and then the chap that was sat behind the driver, my boyfriend, | 0:36:15 | 0:36:21 | |
he was fine. | 0:36:21 | 0:36:23 | |
He got himself out of the car, apparently, and they found him | 0:36:23 | 0:36:27 | |
-in shock on the side of the road. -How old was your boyfriend? | 0:36:27 | 0:36:30 | |
My boyfriend was 19. | 0:36:30 | 0:36:33 | |
I was 17, my best friend was 17. | 0:36:33 | 0:36:36 | |
I think when you're that age, you feel invincible, | 0:36:36 | 0:36:38 | |
and you feel that, "Oh, that's not going to happen to me." | 0:36:38 | 0:36:42 | |
I don't know whether he didn't care or if it was more like a... | 0:36:42 | 0:36:45 | |
Obviously he must've got an adrenaline rush out of it. | 0:36:45 | 0:36:48 | |
I can't believe how irresponsible he was. | 0:36:48 | 0:36:51 | |
I want to find out more about boy racers | 0:36:53 | 0:36:55 | |
and why they take such big risks on the road. | 0:36:55 | 0:36:58 | |
I'm meeting up with Professor Geoff Beattie, who has written | 0:36:58 | 0:37:01 | |
about car culture for the insurance industry. | 0:37:01 | 0:37:04 | |
-Pleased to meet you. -Hi, it's nice to see you. | 0:37:04 | 0:37:06 | |
-Good to see you, how are you? -Very well, thank you. | 0:37:06 | 0:37:09 | |
So what is it about cars | 0:37:09 | 0:37:11 | |
and putting your foot down on the accelerator and this group of men? | 0:37:11 | 0:37:15 | |
Well, I mean, it's celebrating what young men have evolved to do, | 0:37:15 | 0:37:20 | |
which is stand out from the crowd by being faster, stronger, more daring. | 0:37:20 | 0:37:25 | |
Here they're doing it in a particularly cultural way. | 0:37:25 | 0:37:28 | |
They're doing it through cars. | 0:37:28 | 0:37:30 | |
We've come to Ultimate Street Car event at the Santa Pod raceway, | 0:37:39 | 0:37:42 | |
where anyone can bring their own car and test it out on the track. | 0:37:42 | 0:37:47 | |
The beauty of cars is that | 0:37:47 | 0:37:49 | |
you don't have to be the best hunter of the pack | 0:37:49 | 0:37:52 | |
to drive a car really well. A lot depends upon the car, | 0:37:52 | 0:37:55 | |
so it gives everyone the chance to rise in the tribe | 0:37:55 | 0:37:58 | |
by getting into one of those cars and just racing along that track. | 0:37:58 | 0:38:02 | |
And of course if you look at the age of the people here, | 0:38:02 | 0:38:05 | |
they're all under 25. Very few women here. | 0:38:05 | 0:38:07 | |
-Any women who are here are here... -With their boyfriends. -Yes. | 0:38:07 | 0:38:11 | |
Is this your car? | 0:38:11 | 0:38:13 | |
-Whose car is it? -Mine. -What are we looking at? | 0:38:13 | 0:38:15 | |
-Redtop, 2.1 Redtop. 16-year-old. -Did you build this yourself? | 0:38:15 | 0:38:20 | |
Yeah, apart from the paint. | 0:38:20 | 0:38:21 | |
How much did you spend on it? | 0:38:21 | 0:38:23 | |
Well, it's insured for about ten grand. | 0:38:23 | 0:38:25 | |
And how old are you? | 0:38:25 | 0:38:27 | |
-24. -24. And you're insured for £10,000? That's so much money. | 0:38:27 | 0:38:32 | |
-Fully comp as well. -Why are you spending so much money on a car? | 0:38:32 | 0:38:35 | |
-Cos I enjoy going out in it, that's why. -Do you? | 0:38:35 | 0:38:37 | |
-Yeah. -What's the enjoyment, what's the pleasure? | 0:38:37 | 0:38:39 | |
Driving fast. Shouldn't say that, should you? | 0:38:39 | 0:38:41 | |
-How fast have you driven? -Er, about 140 in this. | 0:38:41 | 0:38:44 | |
On the roads? | 0:38:44 | 0:38:46 | |
Might have done. I'm on camera, I'm not going to say that, am I? | 0:38:46 | 0:38:49 | |
-But do you think that's wise? Do you think that's safe? -Of course not. | 0:38:49 | 0:38:52 | |
-So why do you are you doing it? -Cos I get a buzz out of it. | 0:38:52 | 0:38:56 | |
-That's the main reason. -Yeah? -Were you on your own or with someone? | 0:38:56 | 0:38:59 | |
Groups of friends. Yeah, we go out in cars, have a laugh. | 0:38:59 | 0:39:02 | |
It's the culture, isn't it? A group of friends, that's what we do. | 0:39:02 | 0:39:05 | |
Do up cars, come here, race them for the weekend | 0:39:05 | 0:39:08 | |
but here it's better cos it's all legal, isn't it? | 0:39:08 | 0:39:10 | |
-What do cars mean to you? -Pardon? -What do cars mean to you? | 0:39:10 | 0:39:13 | |
Everything, it's my job. I'm a mechanic. Everything, my life. | 0:39:13 | 0:39:17 | |
-Do you race? -We don't race so much, we used to. | 0:39:17 | 0:39:20 | |
There's a couple of places round where I live, | 0:39:20 | 0:39:22 | |
but it's all been shut down now. | 0:39:22 | 0:39:24 | |
It does get out of hand, don't get me wrong. | 0:39:24 | 0:39:26 | |
-Why, what's happened? -A couple of crashes and stuff. -Serious? | 0:39:26 | 0:39:29 | |
-Yeah, yeah. -Have you lost friends? | 0:39:29 | 0:39:32 | |
No, no, not personally. But I know people who have lost friends. | 0:39:32 | 0:39:35 | |
So what do the neuroscientists have to say about boy racers | 0:39:37 | 0:39:40 | |
and their risk-taking? | 0:39:40 | 0:39:42 | |
In the last 15 years, MRI scans have enabled researchers to find out | 0:39:42 | 0:39:47 | |
that the human brain keeps developing until at least 25. | 0:39:47 | 0:39:52 | |
They believe that the period known as adolescence can go on | 0:39:52 | 0:39:55 | |
well into our twenties, and our brains change profoundly | 0:39:55 | 0:40:00 | |
over this period. | 0:40:00 | 0:40:02 | |
This part in the middle of the brain is very much involved in emotion | 0:40:02 | 0:40:06 | |
and there's an area right down here which is called | 0:40:06 | 0:40:09 | |
the ventral striatum, and this is the part of the brain | 0:40:09 | 0:40:11 | |
that is about processing reward, | 0:40:11 | 0:40:13 | |
it's the bit which makes you get that kick | 0:40:13 | 0:40:15 | |
when you get that adrenaline rush, when you have that feeling | 0:40:15 | 0:40:18 | |
of a high, and this part really changes in adolescence | 0:40:18 | 0:40:21 | |
and we can see that in adolescent behaviour. But we can also see that | 0:40:21 | 0:40:25 | |
in MRI scanners, so if you get an adolescent to do something | 0:40:25 | 0:40:28 | |
that they get a reward, this part of the brain really lights up | 0:40:28 | 0:40:31 | |
much more profoundly than in children | 0:40:31 | 0:40:33 | |
and more, in most cases, than adults as well. | 0:40:33 | 0:40:35 | |
This isn't a less-good adult brain, | 0:40:35 | 0:40:39 | |
it's adapted to what we need to do in that period of our lives - | 0:40:39 | 0:40:43 | |
try new experiences our parents may not approve of, impress girls. | 0:40:43 | 0:40:48 | |
It's just that evolution hadn't anticipated souped-up cars. | 0:40:48 | 0:40:51 | |
So, for example, if you were to drive fast, | 0:40:51 | 0:40:54 | |
have the wind in your hair, that sense of reward | 0:40:54 | 0:40:58 | |
and that sense of adventure that you get | 0:40:58 | 0:41:00 | |
is being partly processed in this area. | 0:41:00 | 0:41:03 | |
This is delivering that kind of sensation of happiness, euphoria? | 0:41:03 | 0:41:08 | |
Exactly, this part of the brain is vital | 0:41:08 | 0:41:10 | |
for you to be able to feel that, | 0:41:10 | 0:41:11 | |
and it seems to be really active in this adolescent age group. | 0:41:11 | 0:41:15 | |
But an interesting thing is, it's not all of the time. | 0:41:15 | 0:41:17 | |
So adolescents are capable of having very normal, safe driving behaviour | 0:41:17 | 0:41:22 | |
in the lab, but when you put them in a more high-emotional situation, | 0:41:22 | 0:41:27 | |
for example when they've got friends they want to impress, | 0:41:27 | 0:41:30 | |
then they seem to behave in a more risky way | 0:41:30 | 0:41:33 | |
and they activate this part of their brain more. | 0:41:33 | 0:41:36 | |
Who do you think are the most dangerous people on the roads? | 0:41:36 | 0:41:39 | |
-Definitely old people. -Who are the most dangerous people on the roads? | 0:41:39 | 0:41:42 | |
-Why women? -Because they pull out on you for no reason. | 0:41:42 | 0:41:46 | |
-THEY ALL LAUGH -Just... | 0:41:46 | 0:41:48 | |
no common sense at all. | 0:41:48 | 0:41:50 | |
All the boys that we've spoken to, when we have asked them | 0:41:50 | 0:41:53 | |
"who do you think are the most dangerous people on the roads?" | 0:41:53 | 0:41:56 | |
none of them have said, "We are." | 0:41:56 | 0:41:57 | |
They've all blamed women or old people. | 0:41:57 | 0:41:59 | |
They think it's a conspiracy, they think it's a stereotype. | 0:41:59 | 0:42:02 | |
And they're saying that the reality doesn't match the stereotype. | 0:42:02 | 0:42:05 | |
But it's as if they're in denial. | 0:42:05 | 0:42:08 | |
It's as if they've persuaded themselves | 0:42:08 | 0:42:10 | |
of a particular view of the world. | 0:42:10 | 0:42:12 | |
And they've got categorisations for women and old people. | 0:42:12 | 0:42:15 | |
And as long as they stick to that, they can feel invincible. | 0:42:15 | 0:42:18 | |
It seems we're the worst people to asses our own driving ability. | 0:42:18 | 0:42:23 | |
Of the 1,900 road deaths last year, one in five were young people. | 0:42:23 | 0:42:28 | |
And it's not just male drivers. Young women are also at high risk. | 0:42:28 | 0:42:33 | |
Much of this is simply due to lack of experience on the road. | 0:42:33 | 0:42:37 | |
However, there are some proposals around to address this. | 0:42:37 | 0:42:41 | |
The Association of British Insurers are calling | 0:42:41 | 0:42:44 | |
for graduated driving licences for young people, | 0:42:44 | 0:42:47 | |
so you would be able to start learning to drive | 0:42:47 | 0:42:50 | |
six months earlier than you can currently, | 0:42:50 | 0:42:53 | |
so while you're 16-and-a-half, but then you have to wear L plates | 0:42:53 | 0:42:57 | |
on your cars for an extra year, | 0:42:57 | 0:42:59 | |
you're not allowed to have friends in the car with you. | 0:42:59 | 0:43:01 | |
And you can't drive between the hours of 11pm and 4am. | 0:43:01 | 0:43:06 | |
And also stricter rules on the amount of alcohol | 0:43:06 | 0:43:10 | |
that a young person can have in their system whilst driving. | 0:43:10 | 0:43:12 | |
Accidents amongst this group of young doesn't just come down | 0:43:12 | 0:43:15 | |
to risk-taking. Often it's lack of experience, | 0:43:15 | 0:43:18 | |
they just haven't been driving long enough to fully understand roads | 0:43:18 | 0:43:22 | |
or cars, so graduated driving licences make a lot of sense. | 0:43:22 | 0:43:25 | |
We know that in Sweden when this happened, | 0:43:25 | 0:43:28 | |
there was about a 40% reduction in crashes. | 0:43:28 | 0:43:31 | |
So there are massive opportunities | 0:43:31 | 0:43:33 | |
for us to decrease the amount of blood on the road. | 0:43:33 | 0:43:37 | |
These kinds of interventions are most effective for high-risk groups. | 0:43:37 | 0:43:41 | |
Another high-risk group are in fact the most experienced drivers | 0:43:41 | 0:43:46 | |
of them all - the elderly. | 0:43:46 | 0:43:48 | |
His life was torn apart when his wife and son were killed | 0:43:48 | 0:43:52 | |
after a car mounted the pavement they were walking along. | 0:43:52 | 0:43:55 | |
It was being driven by an elderly man who had a heart attack. | 0:43:55 | 0:43:58 | |
..calling for a change in the law | 0:43:58 | 0:44:00 | |
so drivers over a certain age are retested. | 0:44:00 | 0:44:02 | |
His age, his reaction times, | 0:44:02 | 0:44:04 | |
his reading of certain situations were failing. | 0:44:04 | 0:44:06 | |
Let's look at the statistics for how age affects accidents. | 0:44:06 | 0:44:10 | |
Drivers under 20 are 12 times more likely than not | 0:44:10 | 0:44:14 | |
to be to blame for an accident. | 0:44:14 | 0:44:16 | |
Drivers aged 50 are more likely to be innocent. | 0:44:16 | 0:44:19 | |
By 80, it's back up to seven times more likely to be to blame | 0:44:19 | 0:44:24 | |
and climbing. | 0:44:24 | 0:44:25 | |
There have been calls for compulsory retesting of the elderly. | 0:44:25 | 0:44:28 | |
So we thought we'd put them head-to-head with the young | 0:44:28 | 0:44:31 | |
and see how they compare. | 0:44:31 | 0:44:33 | |
Adolescents versus... | 0:44:34 | 0:44:36 | |
Octogenarians. | 0:44:36 | 0:44:38 | |
I've got my team of young drivers, a lot of them have had crashes, | 0:44:39 | 0:44:44 | |
they're paying a lot of money for their insurance. | 0:44:44 | 0:44:47 | |
It is a concern, but they all tell me they're very safe drivers, | 0:44:47 | 0:44:50 | |
so all I can do is believe them. | 0:44:50 | 0:44:52 | |
Dr Crundall and his team have designed an obstacle course | 0:44:53 | 0:44:56 | |
for our drivers to negotiate. | 0:44:56 | 0:44:58 | |
It consists of nine gates. | 0:45:00 | 0:45:02 | |
At each gate they will have a choice of two gaps. | 0:45:02 | 0:45:04 | |
They'll get more points for the narrower gap. | 0:45:04 | 0:45:07 | |
-Fewer for the wider one. -No points if they touch the sides. | 0:45:07 | 0:45:11 | |
So we can see if there's a difference in the risk | 0:45:11 | 0:45:14 | |
-which they're prepared to take. -And also in their driving ability. | 0:45:14 | 0:45:18 | |
All our drivers are accompanied by a qualified driving instructor, | 0:45:18 | 0:45:22 | |
-but he's not allowed to help. -There's no time limit... | 0:45:22 | 0:45:25 | |
Go. | 0:45:25 | 0:45:26 | |
ENGINE STRAINS | 0:45:26 | 0:45:28 | |
'And no extra points for speed.' Steady, go! | 0:45:28 | 0:45:31 | |
Who will score higher? | 0:45:34 | 0:45:37 | |
Who do you think's going to be safer, you, | 0:45:37 | 0:45:39 | |
-or someone in their eighties? -I think us. | 0:45:39 | 0:45:42 | |
Who's going to be best? | 0:45:42 | 0:45:43 | |
We are! | 0:45:43 | 0:45:45 | |
First up for the older drivers, Jenny, driving since 1948. | 0:45:45 | 0:45:49 | |
It must have been quite unusual for a woman to drive in 1948. | 0:45:49 | 0:45:53 | |
-I suppose it was. I've always been a bit of a go-getter. -Go! | 0:45:53 | 0:45:56 | |
Is she going to go for... It's two fives there, isn't it? | 0:45:59 | 0:46:02 | |
-It's not very wide. -No. | 0:46:02 | 0:46:05 | |
We'll go through the twenties, get our marks up as high as possible. | 0:46:05 | 0:46:09 | |
-Oh, yes, she's knocked it down. -Bad mark! | 0:46:09 | 0:46:12 | |
I love my car, it's like my wife. | 0:46:12 | 0:46:15 | |
I go everywhere in it, and it's just my life. | 0:46:15 | 0:46:18 | |
-You nervous, Taelor? -No. | 0:46:18 | 0:46:20 | |
Taelor is completely oblivious to his seatbelt alarm. | 0:46:21 | 0:46:24 | |
ALARM BEEPS | 0:46:24 | 0:46:27 | |
We want to know how observant our drivers are whilst concentrating | 0:46:28 | 0:46:33 | |
on driving the course, so we've dressed one of our cameramen | 0:46:33 | 0:46:36 | |
in a bear suit. | 0:46:36 | 0:46:38 | |
This might equate to noticing a pedestrian stepping out | 0:46:38 | 0:46:41 | |
while you're looking for a parking place. | 0:46:41 | 0:46:44 | |
What was the cameraman wearing? | 0:46:44 | 0:46:45 | |
I don't know, I wasn't looking for the cameraman. | 0:46:45 | 0:46:48 | |
-You didn't spot the cameraman? -No. | 0:46:48 | 0:46:50 | |
HE LAUGHS | 0:46:50 | 0:46:53 | |
You're all over 80, how do you feel about driving? | 0:46:53 | 0:46:55 | |
I mean, are you as good at driving as you were? | 0:46:55 | 0:46:57 | |
I mean, we don't know, but we just are careful drivers and... | 0:46:57 | 0:47:02 | |
..and our life, if you took our cars away, | 0:47:03 | 0:47:07 | |
our whole lives would change. | 0:47:07 | 0:47:09 | |
If I had to give up my car, I've no means of getting anywhere | 0:47:09 | 0:47:12 | |
and I live in a rural area like this, | 0:47:12 | 0:47:15 | |
there just are no buses to get me into town. | 0:47:15 | 0:47:18 | |
-I don't mind doing left turns. -But you don't like right turns. | 0:47:18 | 0:47:21 | |
-I don't like right turns. -That'll make it hard to get around. | 0:47:21 | 0:47:24 | |
Then I'm going left. | 0:47:24 | 0:47:26 | |
Round to the left. | 0:47:26 | 0:47:27 | |
'Our village is very near Junction 17, M4' | 0:47:27 | 0:47:30 | |
so I go along there, | 0:47:30 | 0:47:32 | |
turn left into the hospital, | 0:47:32 | 0:47:34 | |
when I come to leave, I go out and turn left again | 0:47:34 | 0:47:37 | |
and come back on the old road... | 0:47:37 | 0:47:39 | |
-Avoiding right turns. -Avoiding any right turns. | 0:47:39 | 0:47:42 | |
So you're driving down here | 0:47:42 | 0:47:43 | |
and you decide whether you want to go through... | 0:47:43 | 0:47:45 | |
Which of those two gates do you want to go through? | 0:47:45 | 0:47:48 | |
-Right... -And as you go round there, there's a 10 and a 20. | 0:47:48 | 0:47:50 | |
You can't go through there! | 0:47:50 | 0:47:51 | |
-You can. -You can't! | 0:47:51 | 0:47:53 | |
You can, no, you can. | 0:47:53 | 0:47:55 | |
After a cautious start, Marian uses a new tactic. | 0:47:55 | 0:47:59 | |
-How do you reverse? -That's it, yep. | 0:47:59 | 0:48:01 | |
-Reversing to re-align... -That's sensible, isn't it? | 0:48:03 | 0:48:06 | |
If you're not sure you're going to negotiate, | 0:48:06 | 0:48:08 | |
you know, she's playing it cool. | 0:48:08 | 0:48:10 | |
Certainly for elderly people, | 0:48:10 | 0:48:11 | |
you expect that doing multiple tasks at the same time | 0:48:11 | 0:48:15 | |
in a dynamic environment will be difficult. | 0:48:15 | 0:48:18 | |
The way Marian's dealing with this - she's actually stopping the car, | 0:48:18 | 0:48:22 | |
then making that decision while she's stationary. | 0:48:22 | 0:48:24 | |
It's a very sensible compensatory strategy she's using. | 0:48:24 | 0:48:27 | |
There is a lot of discussion at the moment | 0:48:27 | 0:48:30 | |
about introducing compulsory testing for older drivers. | 0:48:30 | 0:48:32 | |
Would you agree that people should have compulsory testing? | 0:48:32 | 0:48:36 | |
I don't think it should wait until we're 80 | 0:48:36 | 0:48:39 | |
because if you're still handling a car properly at 60, | 0:48:39 | 0:48:43 | |
you'll probably still be handling it all right at 80. | 0:48:43 | 0:48:45 | |
The high-scoring gap at the end of the course is worth 40 points, | 0:48:45 | 0:48:50 | |
although it's actually narrower than the car. | 0:48:50 | 0:48:53 | |
We've called it the impossigate, | 0:48:53 | 0:48:55 | |
but Len manages, with an impressive display of skill, | 0:48:55 | 0:48:58 | |
to get his car through. | 0:48:58 | 0:49:00 | |
So what are the results on risk-taking and driving ability? | 0:49:00 | 0:49:05 | |
It takes a week for the number crunching. | 0:49:05 | 0:49:07 | |
Did old drivers score more points than young drivers? | 0:49:07 | 0:49:11 | |
-Are they better? -Are they better? | 0:49:11 | 0:49:12 | |
They did score more points - we've got 91 points for the old drivers. | 0:49:12 | 0:49:16 | |
-only 81 points for the young drivers. -Whoa! | 0:49:17 | 0:49:20 | |
Statistically speaking, that gap isn't big enough. | 0:49:20 | 0:49:24 | |
-Yeah, it's not that significant. -But there is definitely a trend | 0:49:24 | 0:49:27 | |
where the old drivers are doing better. | 0:49:27 | 0:49:29 | |
So we can't draw concrete conclusions about ability, | 0:49:29 | 0:49:33 | |
but what about risk-taking? | 0:49:33 | 0:49:34 | |
Which group was tempted through the narrower gates by higher points? | 0:49:34 | 0:49:39 | |
Again, it's actually favouring the old people for being slightly risky. | 0:49:39 | 0:49:44 | |
Oh, 40. | 0:49:44 | 0:49:45 | |
-40 or 10. Your choice. -That's too tempting for words. | 0:49:45 | 0:49:48 | |
The older drivers were slightly more likely to go for the risky gate, | 0:49:48 | 0:49:51 | |
but slightly more likely to get through as well. | 0:49:51 | 0:49:53 | |
She's made it. That was another 20 points, I think. | 0:49:53 | 0:49:56 | |
So the old are taking risks to earn points, | 0:49:56 | 0:49:59 | |
but well-calculated ones, | 0:49:59 | 0:50:01 | |
and not least because they were three times slower than the young, | 0:50:01 | 0:50:05 | |
some of whom really went for it. | 0:50:05 | 0:50:08 | |
We're rocking, ain't we? | 0:50:08 | 0:50:09 | |
Both groups had been clearly told | 0:50:09 | 0:50:11 | |
that speed didn't gain points. | 0:50:11 | 0:50:14 | |
The octogenarians seemed to take that on board. | 0:50:14 | 0:50:17 | |
But there was one other important result for the old drivers, | 0:50:17 | 0:50:21 | |
'not as a group, but as individuals.' | 0:50:21 | 0:50:23 | |
'One of them was clearly the best driver | 0:50:23 | 0:50:25 | |
'and another was by far and away the worst.' | 0:50:25 | 0:50:29 | |
'Where does that leave compulsory retesting?' | 0:50:29 | 0:50:32 | |
Is it fair to, in this instance, | 0:50:32 | 0:50:35 | |
to blanket-test all the blue people in this graph... | 0:50:35 | 0:50:39 | |
Given that they've done better than the young people... | 0:50:39 | 0:50:42 | |
-..just to find the outliers? -But one's done really badly. | 0:50:42 | 0:50:45 | |
-But hold on, this outlier is really bad. -It's way off the scale. | 0:50:45 | 0:50:48 | |
There's not much evidence | 0:50:51 | 0:50:53 | |
that those types of measures for elderly people | 0:50:53 | 0:50:56 | |
will have a major impact. | 0:50:56 | 0:50:59 | |
In fact, older people do tend to take very sensible precautions. | 0:50:59 | 0:51:04 | |
Once they have medical issues, | 0:51:04 | 0:51:07 | |
they often will take themselves out of driving completely | 0:51:07 | 0:51:12 | |
or they will actually reduce their high exposure, | 0:51:12 | 0:51:15 | |
so they don't tend to drive at night, | 0:51:15 | 0:51:18 | |
they don't tend to drive in highly congested situations, | 0:51:18 | 0:51:21 | |
so they're actually reducing their exposure to risk. | 0:51:21 | 0:51:24 | |
'We've been examining the accident statistics for groups of drivers | 0:51:24 | 0:51:28 | |
'but as we've seen, everyone's different.' | 0:51:28 | 0:51:30 | |
'A few older drivers could influence policy for all the others.' | 0:51:30 | 0:51:35 | |
Safe young drivers often have to pay inflated insurance premiums | 0:51:35 | 0:51:40 | |
based on the driving of the worst of their group. | 0:51:40 | 0:51:42 | |
But the insurance companies believe they may have a way to address this. | 0:51:42 | 0:51:47 | |
Telematics boxes keep a record of every journey, | 0:51:47 | 0:51:50 | |
including speed, time of day, | 0:51:50 | 0:51:53 | |
location, cornering, | 0:51:53 | 0:51:55 | |
acceleration and braking, | 0:51:55 | 0:51:57 | |
so that insurers can weigh up the risk. | 0:51:57 | 0:51:59 | |
But how do our young drivers feel about being constantly monitored? | 0:51:59 | 0:52:04 | |
I wouldn't have a black box in my car. | 0:52:04 | 0:52:06 | |
My insurance company already have enough details, you know. | 0:52:06 | 0:52:09 | |
Why should I then tell them what I'm getting up to? | 0:52:09 | 0:52:11 | |
I think it would be quite good to see what your driving's like, | 0:52:11 | 0:52:14 | |
so if you think you're a good driver | 0:52:14 | 0:52:16 | |
but find out you're not, you can improve yourself. | 0:52:16 | 0:52:18 | |
So why wouldn't you want anyone knowing how you're driving? | 0:52:18 | 0:52:22 | |
Because sometimes it's not the best style of driving | 0:52:22 | 0:52:25 | |
and it is aggressive | 0:52:25 | 0:52:27 | |
but I feel I'm safe doing it. | 0:52:27 | 0:52:29 | |
Black box in my car, I think it'd be all right. | 0:52:29 | 0:52:31 | |
I don't really do anything stupid. | 0:52:31 | 0:52:33 | |
There's someone monitoring you 24/7. I don't like being monitored 24/7. | 0:52:33 | 0:52:37 | |
The simple fact that parents can see what they're up to | 0:52:37 | 0:52:40 | |
seems to make young drivers safer on its own, as demonstrated | 0:52:40 | 0:52:44 | |
by lower accident rates where telematics boxes are in use. | 0:52:44 | 0:52:48 | |
There are massive opportunities for black box technology | 0:52:48 | 0:52:52 | |
to improve the insurance for younger drivers in particular, | 0:52:52 | 0:52:58 | |
and to improve their safety | 0:52:58 | 0:53:00 | |
because let's face it, if young drivers cannot afford the insurance | 0:53:00 | 0:53:05 | |
at their current situation, | 0:53:05 | 0:53:07 | |
they can afford it by simply driving safe. | 0:53:07 | 0:53:10 | |
Straightforward for everyone. | 0:53:10 | 0:53:12 | |
Could this technology also help | 0:53:12 | 0:53:15 | |
with other high-risk groups like the elderly? | 0:53:15 | 0:53:18 | |
Or are we putting too much power in the hands of the authorities | 0:53:19 | 0:53:22 | |
by allowing ourselves to be tracked and monitored all the time? | 0:53:22 | 0:53:26 | |
Telematics are designed to record and highlight our mistakes, | 0:53:28 | 0:53:33 | |
to help us change. | 0:53:33 | 0:53:34 | |
Other technologies being developed | 0:53:34 | 0:53:36 | |
are taking an even more radical approach. | 0:53:36 | 0:53:39 | |
It's five o'clock in the morning and I'm about to be driven | 0:53:42 | 0:53:45 | |
to a secret location somewhere in Sweden | 0:53:45 | 0:53:48 | |
to experience the future of car technology. | 0:53:48 | 0:53:51 | |
In almost all accidents, human error plays a role. | 0:53:56 | 0:53:58 | |
So if I put it really simplistically, I could say, | 0:53:58 | 0:54:01 | |
if we would remove the human | 0:54:01 | 0:54:02 | |
and drive completely automatically, | 0:54:02 | 0:54:04 | |
there's a huge potential of making traffic safer. | 0:54:04 | 0:54:07 | |
Look at that! | 0:54:20 | 0:54:21 | |
SHE LAUGHS | 0:54:21 | 0:54:23 | |
This is so weird. | 0:54:24 | 0:54:26 | |
My feet and my hands! | 0:54:26 | 0:54:28 | |
I don't need to use either. | 0:54:30 | 0:54:31 | |
This is the first type of driverless car | 0:54:33 | 0:54:36 | |
we're likely to see on our roads. | 0:54:36 | 0:54:38 | |
The necessary technology is already available in many of our cars. | 0:54:38 | 0:54:42 | |
The idea is called platooning. | 0:54:44 | 0:54:46 | |
One driver, in this case in the truck, | 0:54:46 | 0:54:49 | |
takes control of the vehicles behind him. | 0:54:49 | 0:54:52 | |
The technology is here. | 0:54:52 | 0:54:54 | |
I'm sitting in a car that's essentially driving on its own. | 0:54:54 | 0:54:58 | |
It's quite amazing. | 0:54:58 | 0:54:59 | |
Platooning is being developed | 0:54:59 | 0:55:02 | |
by a consortium called SARTRE with EU money. | 0:55:02 | 0:55:05 | |
'It can take control of our cars | 0:55:05 | 0:55:07 | |
'using systems you may already be driving around with - ' | 0:55:07 | 0:55:10 | |
lane-keeping aids and adaptive cruise control, | 0:55:10 | 0:55:13 | |
which manage speed, steering and braking. | 0:55:13 | 0:55:16 | |
It's all connected using wi-fi technology. | 0:55:16 | 0:55:19 | |
What I want to know is, there's still a driver in the truck, | 0:55:22 | 0:55:27 | |
what if he makes a mistake? | 0:55:27 | 0:55:29 | |
He will have support systems that warn him to react | 0:55:29 | 0:55:32 | |
and if he's not reacting, | 0:55:32 | 0:55:34 | |
the truck will autonomously brake | 0:55:34 | 0:55:37 | |
-and all the cars behind him as well... -Will brake. -Yeah. | 0:55:37 | 0:55:41 | |
And they'll brake in time, | 0:55:41 | 0:55:44 | |
-so that you don't end up shunting the car in front. -Yes. | 0:55:44 | 0:55:46 | |
Be prepared now, we're going to do a medium harsh braking. | 0:55:46 | 0:55:50 | |
Oh, wow. | 0:55:52 | 0:55:53 | |
She's not touching anything. | 0:55:53 | 0:55:55 | |
-No! -No feet on pedals. | 0:55:55 | 0:55:58 | |
This is a system for the motorway. | 0:55:58 | 0:56:01 | |
It could be installed, for example, in a scheduled coach service | 0:56:01 | 0:56:04 | |
which is already running up and down a route. | 0:56:04 | 0:56:07 | |
Cars or lorries could drive up behind the vehicle | 0:56:07 | 0:56:10 | |
and join the road train. | 0:56:10 | 0:56:12 | |
But there is one big obstacle - | 0:56:12 | 0:56:14 | |
this kind of technology requires a fundamental change in the law. | 0:56:14 | 0:56:19 | |
All over the world, motoring law is underpinned by one principle - | 0:56:19 | 0:56:24 | |
a car must be under the control of the driver. | 0:56:24 | 0:56:26 | |
In other words, a human MUST be in charge. | 0:56:26 | 0:56:30 | |
But we've seen that humans are the biggest problem. | 0:56:30 | 0:56:34 | |
SARTRE believe the move to more automated cars is inevitable. | 0:56:34 | 0:56:38 | |
And estimates the necessary legislation will take ten years. | 0:56:38 | 0:56:43 | |
'Meanwhile, our need for sleep...' | 0:56:43 | 0:56:46 | |
Wake up! | 0:56:46 | 0:56:47 | |
Our inability to concentrate... | 0:56:47 | 0:56:49 | |
The desire for alcohol and drugs... | 0:56:49 | 0:56:51 | |
There we go. | 0:56:51 | 0:56:53 | |
..to show off to our peers... | 0:56:53 | 0:56:55 | |
..the things that make us human | 0:56:55 | 0:56:57 | |
will continue to make us a danger to ourselves and others on the road. | 0:56:57 | 0:57:01 | |
So what are we prepared to give up in order to save lives? | 0:57:01 | 0:57:04 | |
The right to enjoy a drink? | 0:57:04 | 0:57:07 | |
Or not to be monitored wherever we go? | 0:57:07 | 0:57:10 | |
For many of us, driving is about freedom and personal choice. | 0:57:10 | 0:57:14 | |
It took decades to make seatbelts compulsory. | 0:57:16 | 0:57:19 | |
Seatbelt's there for a reason and it's there to save lives. | 0:57:19 | 0:57:22 | |
I didn't put it on, and I... | 0:57:22 | 0:57:25 | |
I have to deal with the consequences. | 0:57:25 | 0:57:27 | |
Surveillance and driverless technologies | 0:57:27 | 0:57:31 | |
present more complex choices. | 0:57:31 | 0:57:33 | |
But with nearly 2,000 dead on the roads, | 0:57:33 | 0:57:36 | |
are we as a nation paying enough attention to the problems? | 0:57:36 | 0:57:39 | |
Or are we wasting opportunities and lives? | 0:57:39 | 0:57:44 | |
There's no such thing as an accident. Everything has a cause. | 0:57:44 | 0:57:48 | |
Everyone still calls them accidents. | 0:57:48 | 0:57:50 | |
So if the priority is to tackle the causes and cut casualties, | 0:57:50 | 0:57:55 | |
we must all play our part. | 0:57:55 | 0:57:57 | |
If this was some obscure cancer, | 0:57:57 | 0:58:01 | |
then we would be working really hard to produce the solutions. | 0:58:01 | 0:58:05 | |
We know what the solutions are for driving. | 0:58:05 | 0:58:09 | |
We just need to persuade ourselves to implement them. | 0:58:09 | 0:58:12 | |
But as we all know, humans are often reluctant to take the safest course. | 0:58:13 | 0:58:19 | |
Subtitles by Red Bee Media Ltd | 0:58:42 | 0:58:46 |