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Every morning, hundreds of thousands of passengers | 0:00:03 | 0:00:07 | |
all over the country rely on trains to get to work. | 0:00:07 | 0:00:09 | |
And that number is growing rapidly every year. | 0:00:09 | 0:00:14 | |
As we all know, our trains are great when they work, | 0:00:14 | 0:00:17 | |
but they are a nightmare when they go wrong. | 0:00:17 | 0:00:20 | |
Tonight on Bang, | 0:00:22 | 0:00:24 | |
we scrutinize our rail system and ask | 0:00:24 | 0:00:26 | |
how is it ever going to deal with the surge in passenger numbers? | 0:00:26 | 0:00:31 | |
We see how we can squeeze more trains on to the existing tracks... | 0:00:33 | 0:00:38 | |
All of this technology is going to revolutionize the way | 0:00:38 | 0:00:41 | |
our railways will be run in the future. | 0:00:41 | 0:00:45 | |
..how the weakest link is often the rails themselves... | 0:00:45 | 0:00:48 | |
When a tiny crack from a bolt hole deepens, | 0:00:48 | 0:00:52 | |
the consequences are not good. | 0:00:52 | 0:00:56 | |
And the truth behind frustrating delays caused by the "wrong kind of leaf".... | 0:00:56 | 0:01:01 | |
Wow. That is pretty incredible. | 0:01:01 | 0:01:04 | |
30 years ago, Britain's rail system was seen as a bit of a disaster. | 0:01:10 | 0:01:15 | |
But they've truly turned the corner. | 0:01:15 | 0:01:18 | |
1.5 billion people a year use 7.2 million train services | 0:01:18 | 0:01:23 | |
over 32,000 kilometres of track. | 0:01:23 | 0:01:27 | |
And passenger numbers are predicted to double in the next 30 years. | 0:01:27 | 0:01:32 | |
But even with new lines like Crossrail | 0:01:32 | 0:01:36 | |
and possibly HS2 due to come on stream, the real problem is how to | 0:01:36 | 0:01:40 | |
increase the capacity on the tracks we already have. | 0:01:40 | 0:01:43 | |
And one way to do that could be to change the way the signals work. | 0:01:44 | 0:01:48 | |
Signals are not only used to keep the trains apart - | 0:01:51 | 0:01:54 | |
they maximise capacity by keeping them as close together as is safe. | 0:01:54 | 0:01:58 | |
For over 100 years, | 0:01:58 | 0:02:00 | |
the safest and most reliable way of controlling and managing the railways | 0:02:00 | 0:02:04 | |
has been the Fixed Block system. | 0:02:04 | 0:02:07 | |
It's actually pretty straightforward. | 0:02:07 | 0:02:09 | |
First divide your track up into blocks potentially a few | 0:02:09 | 0:02:14 | |
kilometres long, separated by a signal. | 0:02:14 | 0:02:17 | |
This is the safety zone. | 0:02:17 | 0:02:18 | |
Then use the signals to let a train know | 0:02:21 | 0:02:23 | |
if it can safely enter a block or not. | 0:02:23 | 0:02:25 | |
And the simple rule is this. | 0:02:25 | 0:02:27 | |
If you have got a train in this block, | 0:02:27 | 0:02:29 | |
the next train is forbidden from entering it until the train | 0:02:29 | 0:02:33 | |
exits the block. | 0:02:33 | 0:02:36 | |
So this signal will stop this train from coming into | 0:02:36 | 0:02:39 | |
the block until this signal here has registered that this train has left. | 0:02:39 | 0:02:42 | |
As long as this rule is followed, | 0:02:43 | 0:02:46 | |
a collision is simply not possible. | 0:02:46 | 0:02:48 | |
The Fixed Block signalling system is safe and successful. | 0:02:50 | 0:02:53 | |
But it's also somewhat inefficient | 0:02:55 | 0:02:57 | |
because to remain safe, all these blocks | 0:02:57 | 0:03:00 | |
need to be pretty big so the tracks end up mainly empty. | 0:03:00 | 0:03:04 | |
With our ever-increasing demand for trains, | 0:03:04 | 0:03:08 | |
can the system that governs how our railways operate be improved, safely? | 0:03:08 | 0:03:12 | |
Well, perhaps we can learn something | 0:03:15 | 0:03:17 | |
from how vehicles flow on our roads. | 0:03:17 | 0:03:19 | |
I'm driving at 50 miles an hour | 0:03:24 | 0:03:27 | |
and if I need to make an emergency stop, | 0:03:27 | 0:03:29 | |
the Highway Code dictates that I would need a total distance of 53 metres - | 0:03:29 | 0:03:33 | |
that's 38m of braking distance | 0:03:33 | 0:03:35 | |
and 15m of thinking distance. | 0:03:35 | 0:03:37 | |
And if traffic builds up and I slow down, | 0:03:39 | 0:03:41 | |
my stopping distance, obviously, falls. | 0:03:41 | 0:03:44 | |
The faster I am going, | 0:03:44 | 0:03:46 | |
the larger the space in front needs to be. | 0:03:46 | 0:03:49 | |
And if I slow down, that space gets smaller. | 0:03:49 | 0:03:52 | |
We could increase capacity on the railways | 0:03:53 | 0:03:56 | |
by getting trains to follow these principles too. | 0:03:56 | 0:03:58 | |
It's essentially like turning a fixed block system | 0:03:59 | 0:04:03 | |
into a moving block. | 0:04:03 | 0:04:05 | |
And that's going to make all the difference. | 0:04:05 | 0:04:07 | |
So how would you make it work? | 0:04:07 | 0:04:09 | |
Well, you'd need to know everything about the train in front - | 0:04:09 | 0:04:12 | |
how fast it was moving, and its position. | 0:04:12 | 0:04:15 | |
And if you knew your speed and your position, | 0:04:16 | 0:04:19 | |
you could then calculate how close you can travel behind the first train safely. | 0:04:19 | 0:04:23 | |
Simple. In theory. | 0:04:23 | 0:04:24 | |
And it's exactly what they do here, | 0:04:28 | 0:04:30 | |
at the Docklands Light Railway in East London. | 0:04:30 | 0:04:33 | |
Each train's exact position is worked out | 0:04:33 | 0:04:36 | |
using wires laid out along the track. | 0:04:36 | 0:04:38 | |
These wires transmit signals to and from the trains. | 0:04:42 | 0:04:44 | |
The loops of cable cross over every 25 metres along the track, | 0:04:46 | 0:04:52 | |
and here's one of those points. | 0:04:52 | 0:04:54 | |
Now, the train counts the amount of times that it travels over | 0:04:54 | 0:04:58 | |
one of these cross points and that's the crucial part of the system. | 0:04:58 | 0:05:01 | |
The train can count these cross points | 0:05:03 | 0:05:06 | |
because the electrical signal changes direction at each twist. | 0:05:06 | 0:05:09 | |
This is the train's on-board computer system, | 0:05:12 | 0:05:15 | |
the nerve centre of the train, | 0:05:15 | 0:05:17 | |
and let me show you what happens when the train passes over | 0:05:17 | 0:05:20 | |
one of these crossover points. | 0:05:20 | 0:05:22 | |
The current is running in one direction as the train | 0:05:22 | 0:05:25 | |
approaches the crossover. | 0:05:25 | 0:05:27 | |
At the crossover, it flips 180 degrees, what's called a phase change. | 0:05:27 | 0:05:31 | |
This oscilloscope measures the direction of the signal below | 0:05:31 | 0:05:35 | |
and you can see how it flips as the loop passes underneath the train. | 0:05:35 | 0:05:40 | |
And it's this that the train registers | 0:05:42 | 0:05:45 | |
and counts every time it passes over a crossover. | 0:05:45 | 0:05:48 | |
Each pulse identifies the train's position within the 25-metre loop. | 0:05:50 | 0:05:54 | |
Then a second system measures | 0:05:57 | 0:05:59 | |
how many times each train wheel rotates. | 0:05:59 | 0:06:01 | |
Between these two systems, the train position can be tracked | 0:06:04 | 0:06:07 | |
down to just a few centimetres. | 0:06:07 | 0:06:09 | |
The exact speed and position of each train is relayed back to this | 0:06:11 | 0:06:15 | |
control centre and the computer system here calculates how | 0:06:15 | 0:06:19 | |
close to each other the trains can travel safely. | 0:06:19 | 0:06:22 | |
That information is then relayed back to the trains | 0:06:22 | 0:06:25 | |
so they can move accordingly. | 0:06:25 | 0:06:27 | |
Using moving block, the DLR's system is able to run more trains, | 0:06:29 | 0:06:33 | |
closer together, than a conventional fixed block system. | 0:06:33 | 0:06:37 | |
Which means the line capacity can be far greater. | 0:06:37 | 0:06:40 | |
And it's flexible enough to be able to deal with almost any | 0:06:42 | 0:06:45 | |
unexpected occurrence with ease. | 0:06:45 | 0:06:47 | |
The police just delayed the train at platform two. | 0:06:48 | 0:06:51 | |
Any idea why that was? | 0:06:51 | 0:06:54 | |
And the system is so safe, it's not only done away with all signals, | 0:06:54 | 0:06:57 | |
but there's also the need for on-board drivers. | 0:06:57 | 0:07:00 | |
Thanks to all this technology, moving block is going to | 0:07:01 | 0:07:04 | |
revolutionize the way our railways will be run in the future, | 0:07:04 | 0:07:07 | |
dramatically increasing rail capacity and efficiency. | 0:07:07 | 0:07:11 | |
With the technology now tried and tested, | 0:07:13 | 0:07:16 | |
the moving block system is being considered for roll out over | 0:07:16 | 0:07:19 | |
the entire national rail network. | 0:07:19 | 0:07:21 | |
And with this change, | 0:07:23 | 0:07:25 | |
we could begin to see more trains and hopefully less overcrowding. | 0:07:25 | 0:07:28 | |
But more and faster trains on the tracks has a serious downside. | 0:07:33 | 0:07:37 | |
The rails themselves wear out a lot quicker. | 0:07:37 | 0:07:40 | |
And this can add up to more inefficiencies, as the tracks | 0:07:40 | 0:07:43 | |
are manually checked and mended. | 0:07:43 | 0:07:46 | |
This may not look special, but that train behind me is the fastest engineering train in the UK | 0:07:51 | 0:07:57 | |
and it's packed with technology. | 0:07:57 | 0:07:59 | |
On board is the revolutionary rail measurement system called | 0:08:01 | 0:08:05 | |
Plain Line Pattern Recognition, | 0:08:05 | 0:08:08 | |
most of which is carried just centimetres from the track. | 0:08:08 | 0:08:12 | |
Underneath the train you've got an array of monitoring equipment. | 0:08:12 | 0:08:15 | |
Underneath here you've got two lasers which are capturing | 0:08:15 | 0:08:18 | |
the track geometry and then here you've got seven cameras monitoring | 0:08:18 | 0:08:23 | |
the track from sleeper end to sleeper end in incredible detail. | 0:08:23 | 0:08:28 | |
This level of scrutiny is required | 0:08:30 | 0:08:32 | |
because of the unbelievable stresses the rails themselves are under. | 0:08:32 | 0:08:37 | |
When the train is moving, the wheels touch a tiny surface area | 0:08:37 | 0:08:42 | |
of the track and in fact, if you were to take the entire length of the train, | 0:08:42 | 0:08:46 | |
the total area covered is less than two mobile phones put together. | 0:08:46 | 0:08:50 | |
So you can imagine, with 100 tonnes | 0:08:50 | 0:08:53 | |
of train pressing down on that tiny surface area, it's got to take its toll. | 0:08:53 | 0:08:59 | |
Most significant is a phenomenon called rolling contact fatigue, | 0:09:03 | 0:09:07 | |
which is a result of stressing the rail as the wheel | 0:09:07 | 0:09:11 | |
presses down over and over again. | 0:09:11 | 0:09:13 | |
In fact, over its lifetime, a single rail will end up | 0:09:15 | 0:09:18 | |
stressed by over a billion tonnes' worth of trains. | 0:09:18 | 0:09:21 | |
And the impact is worse at bends, where | 0:09:24 | 0:09:27 | |
the full weight of the train is thrown at the outer rail. | 0:09:27 | 0:09:30 | |
This is an example of rail fatigue. | 0:09:33 | 0:09:35 | |
If you look, those tiny cracks may look really innocent. | 0:09:35 | 0:09:39 | |
But over time, they are going to deepen and spread. | 0:09:39 | 0:09:43 | |
And eventually, they can become very dangerous. | 0:09:43 | 0:09:46 | |
The consequences are similar to what happens | 0:09:46 | 0:09:50 | |
if I start bending a hacksaw blade, in that initially with that pressure | 0:09:50 | 0:09:55 | |
you are OK, but with continued pressure, that's what happens. | 0:09:55 | 0:10:00 | |
The cracks deepen, the rail splits apart and you are in deep trouble. | 0:10:00 | 0:10:05 | |
Good evening. Four people have been killed and dozens injured | 0:10:10 | 0:10:13 | |
after an Intercity train derailed at high speed in Hertfordshire. | 0:10:13 | 0:10:17 | |
On the 17th of October 2000, an Intercity 225 bound for Leeds | 0:10:18 | 0:10:23 | |
entered a bend just south of Hatfield at around 185kph. | 0:10:23 | 0:10:28 | |
As the forces mounted, the outer rail failed and the whole train | 0:10:28 | 0:10:33 | |
derailed. Four people lost their lives and over 70 were injured. | 0:10:33 | 0:10:38 | |
And rails can fail in other ways too. | 0:10:39 | 0:10:42 | |
This piece of rail had a manufacturing defect | 0:10:43 | 0:10:46 | |
and with pressure, it grew | 0:10:46 | 0:10:48 | |
and you can see that is not looking healthy at all. | 0:10:48 | 0:10:51 | |
And then here, this is what happens when a tiny crack from a bolt hole deepens | 0:10:51 | 0:10:58 | |
and as you can see, the consequences are not good. | 0:10:58 | 0:11:01 | |
Rails can be vulnerable in a number of other different ways. | 0:11:01 | 0:11:05 | |
Their fasteners can come adrift, the joints can be misaligned, | 0:11:05 | 0:11:08 | |
and the clamps go missing. | 0:11:08 | 0:11:11 | |
Any one of those can cause a disaster. | 0:11:11 | 0:11:14 | |
Rail maintenance is a huge commitment for Network Rail, | 0:11:16 | 0:11:19 | |
costing millions of pounds a year | 0:11:19 | 0:11:21 | |
and it's one they obviously take very seriously. | 0:11:21 | 0:11:25 | |
Up until now, most of the inspection work on the railway | 0:11:26 | 0:11:30 | |
has been done by men walking along the track, | 0:11:30 | 0:11:33 | |
spending millions of hours | 0:11:33 | 0:11:35 | |
checking and rechecking the state of the rails. | 0:11:35 | 0:11:38 | |
But that is far from ideal. | 0:11:38 | 0:11:41 | |
-The problem with manual inspection is that it is very slow -- | 0:11:41 | 0:11:46 | |
each rail has to be scrupulously surveyed by experts every few weeks. | 0:11:46 | 0:11:50 | |
Inspectors on the tracks is always a safety issue and of course, all this | 0:11:50 | 0:11:55 | |
time required for inspection ends up having an impact on passengers too. | 0:11:55 | 0:11:59 | |
But the new measurement train should make a real difference. | 0:12:00 | 0:12:04 | |
We're travelling at 100mph and if you take look at that | 0:12:04 | 0:12:08 | |
screen there, you can see the live images coming from the cameras | 0:12:08 | 0:12:11 | |
underneath the train. | 0:12:11 | 0:12:13 | |
All of the data is being collated and stored here and then | 0:12:13 | 0:12:17 | |
when we get back to base, the drive can be removed and analysed. | 0:12:17 | 0:12:21 | |
The software then interprets the images and identifies potential problems. | 0:12:23 | 0:12:28 | |
Those problems can be then checked by inspection experts, who can | 0:12:28 | 0:12:32 | |
order the appropriate action. | 0:12:32 | 0:12:34 | |
It could be the start of a crack appearing in a joint or a weld | 0:12:34 | 0:12:38 | |
and if it goes unnoticed, | 0:12:38 | 0:12:41 | |
that weak point will carry on getting damaged. | 0:12:41 | 0:12:44 | |
We try to find it early before a problem occurs. | 0:12:44 | 0:12:48 | |
Do you know, the quality is just astounding, | 0:12:48 | 0:12:51 | |
bearing in mind that the train can be travelling at over 100mph. | 0:12:51 | 0:12:54 | |
Finding cracks and things like that is very easy | 0:12:54 | 0:12:57 | |
because you can zoom in so for and the quality is perfect. | 0:12:57 | 0:13:00 | |
When a fault is found, their position is marked by GPS and | 0:13:02 | 0:13:06 | |
repair teams are sent direct to the problem within days or even hours. | 0:13:06 | 0:13:10 | |
At the moment, the new measurement train is covering | 0:13:10 | 0:13:14 | |
over 100,000 miles a year, | 0:13:14 | 0:13:16 | |
and potentially, it can be | 0:13:16 | 0:13:18 | |
rolled out across the whole of our railway network, | 0:13:18 | 0:13:22 | |
significantly reducing trackside inspections | 0:13:22 | 0:13:25 | |
and ultimately increasing rail capacity. | 0:13:25 | 0:13:28 | |
Matt Brassington is the project manager. | 0:13:28 | 0:13:31 | |
Can this technology really replace the experienced | 0:13:31 | 0:13:34 | |
eye of the track inspector? | 0:13:34 | 0:13:36 | |
The inspectors on the train | 0:13:36 | 0:13:38 | |
are actually qualified track inspectors themselves | 0:13:38 | 0:13:41 | |
and the software that we have | 0:13:41 | 0:13:43 | |
replicates what they would do on the ballast. | 0:13:43 | 0:13:46 | |
The system in its totality is far, far better than you would | 0:13:46 | 0:13:50 | |
get from a track patroller. | 0:13:50 | 0:13:53 | |
How many hours will this save you? | 0:13:53 | 0:13:55 | |
Originally it took up to about 1.5 million man hours | 0:13:55 | 0:13:58 | |
to inspect national Network Rail's infrastructure. | 0:13:58 | 0:14:00 | |
This has now been halved by the introduction of plain line pattern recognition. | 0:14:00 | 0:14:05 | |
And this has a direct impact on passengers. | 0:14:05 | 0:14:09 | |
Fewer hours wasted by maintenance patrols on the tracks | 0:14:09 | 0:14:12 | |
means routes are not out of action and can carry more passenger trains. | 0:14:12 | 0:14:16 | |
So that's more convenient for passengers | 0:14:16 | 0:14:19 | |
and much safer for the inspection crews. | 0:14:19 | 0:14:21 | |
The New Measurement Train is an impressive piece of technology | 0:14:25 | 0:14:30 | |
which should put an end to some of those frustrating | 0:14:30 | 0:14:33 | |
delays on the line and also prevent faults from becoming tragedies. | 0:14:33 | 0:14:38 | |
But there is one problem that not even this train can sort out | 0:14:38 | 0:14:42 | |
and that's the age-old issue of leaves on the line. | 0:14:42 | 0:14:46 | |
It sounds like the worst excuse imaginable. | 0:14:49 | 0:14:52 | |
How could something as insignificant as leaves | 0:14:52 | 0:14:54 | |
affect a 100-tonne train? | 0:14:54 | 0:14:56 | |
But they do. | 0:14:56 | 0:14:59 | |
In 2002, leaves caused over 500 days' worth of delays. | 0:14:59 | 0:15:04 | |
And it's ultimately | 0:15:04 | 0:15:06 | |
because of how the train's wheels roll on the rails themselves. | 0:15:06 | 0:15:10 | |
One of the reasons that trains are so efficient at pulling heavy loads | 0:15:12 | 0:15:15 | |
whilst expending very little energy is the fact that their steel wheels, | 0:15:15 | 0:15:20 | |
running on a steel rail, | 0:15:20 | 0:15:22 | |
produce very little of what's called 'rolling resistance'. | 0:15:22 | 0:15:25 | |
When any wheel rolls across a surface, | 0:15:29 | 0:15:31 | |
the mass pressing down in it will cause it to deform. | 0:15:31 | 0:15:35 | |
The larger that deformation, like in the case of a semi-flat tyre, | 0:15:37 | 0:15:41 | |
the greater the rolling resistance. | 0:15:41 | 0:15:43 | |
As the wheel deforms, energy is lost | 0:15:44 | 0:15:48 | |
and I can tell you, it makes it much harder to cycle a bike. | 0:15:48 | 0:15:51 | |
On a train, the deformation in the hard steel wheels | 0:15:54 | 0:15:57 | |
and on the rail is incredibly minor, | 0:15:57 | 0:15:59 | |
which equates to a tiny amount of rolling resistance. | 0:15:59 | 0:16:02 | |
But when it comes to stopping and starting, | 0:16:03 | 0:16:06 | |
steel on steel presents some real problems. | 0:16:06 | 0:16:09 | |
Let me show you what I mean using these two steel weights | 0:16:10 | 0:16:14 | |
and this steel plate. | 0:16:14 | 0:16:15 | |
The only difference between these two bits of steel | 0:16:15 | 0:16:17 | |
is that there is a bit of rubber on the underside of this one. | 0:16:17 | 0:16:21 | |
Watch what happens when I tip the plate. | 0:16:21 | 0:16:23 | |
Of course the one without the rubber beneath it | 0:16:25 | 0:16:27 | |
slips to the bottom quickly. | 0:16:27 | 0:16:29 | |
Luckily, under normal conditions, there is just enough | 0:16:32 | 0:16:35 | |
grip between the wheels and the track to allow the trains to | 0:16:35 | 0:16:39 | |
start with ease and, more importantly, | 0:16:39 | 0:16:40 | |
to stop safely. | 0:16:40 | 0:16:42 | |
But when there are leaves on the line it's a different matter. | 0:16:46 | 0:16:49 | |
You see, leaves are made up of about 80% water, | 0:16:49 | 0:16:52 | |
and the rest is a complex combination | 0:16:52 | 0:16:54 | |
of other substances, including cellulose, pectin | 0:16:54 | 0:16:57 | |
and a type of fatty acid which | 0:16:57 | 0:16:59 | |
happen to have lubricating properties. | 0:16:59 | 0:17:01 | |
Research has shown that soggy, slippy leaves are actually | 0:17:03 | 0:17:06 | |
sucked onto the track by the passing trains. | 0:17:06 | 0:17:09 | |
And once on the track, they are crushed to a pulp by the wheels. | 0:17:10 | 0:17:14 | |
The result is a thin black layer of crushed leaf matter, | 0:17:16 | 0:17:20 | |
about 25 microns thick - | 0:17:20 | 0:17:22 | |
that's thinner than the width of a human hair. | 0:17:22 | 0:17:25 | |
And when you get a little bit of rain, | 0:17:25 | 0:17:27 | |
this layer becomes incredibly slippery. | 0:17:27 | 0:17:29 | |
This means that at peak time in the autumn, to avoid slipping, | 0:17:31 | 0:17:35 | |
trains have to accelerate and decelerate | 0:17:35 | 0:17:38 | |
much more slowly than normal, resulting in frustrating delays. | 0:17:38 | 0:17:43 | |
So what does leaves on the line mean in terms of stopping distances? | 0:17:43 | 0:17:48 | |
When Nick and Ian slammed on the brakes at the stop flag over there, | 0:17:48 | 0:17:53 | |
this is where they came to a stop, | 0:17:53 | 0:17:55 | |
and it's roughly where they would end up under normal conditions. | 0:17:55 | 0:17:58 | |
But what would happen if there were crushed leaves on the rails? | 0:17:58 | 0:18:02 | |
We'll simulate the slippery effect of leaves by using | 0:18:03 | 0:18:05 | |
a mix of washing up liquid and water. | 0:18:05 | 0:18:08 | |
This stuff is actually less slippery than crushed wet leaves, | 0:18:08 | 0:18:12 | |
but it's easier to apply, which is why rail companies use this | 0:18:12 | 0:18:15 | |
when they are training drivers to handle low-adhesion conditions. | 0:18:15 | 0:18:19 | |
Right, let's see what happens now when the train tries to stop. | 0:18:21 | 0:18:25 | |
All right, lads. | 0:18:25 | 0:18:26 | |
Here were go - they are about to slam on the brakes at the stop flag. | 0:18:35 | 0:18:38 | |
Whoa... | 0:18:42 | 0:18:44 | |
Wow. | 0:18:44 | 0:18:45 | |
That it pretty incredible - | 0:18:50 | 0:18:53 | |
three times the distance it stopped originally. | 0:18:53 | 0:18:56 | |
Our test is limited to a train speed of 16 kilometres per hour, | 0:18:56 | 0:19:00 | |
and we only prepared 18 metres of line. | 0:19:00 | 0:19:03 | |
Imagine what the effect would be on a 200-tonne express | 0:19:03 | 0:19:06 | |
travelling at 160 kmph. | 0:19:06 | 0:19:09 | |
And this is ultimately why leaves on the track | 0:19:11 | 0:19:13 | |
is no joke. | 0:19:13 | 0:19:15 | |
And you might think to yourself, "Why not just | 0:19:15 | 0:19:17 | |
"cut the trees bordering the railway line?" | 0:19:17 | 0:19:19 | |
But it's not as simple as that. | 0:19:19 | 0:19:21 | |
The answer goes back over 50 years... | 0:19:23 | 0:19:27 | |
Back in the steam locomotive era, | 0:19:27 | 0:19:29 | |
line-side vegetation was kept down by fires caused by sparks | 0:19:29 | 0:19:33 | |
from the trains engines. | 0:19:33 | 0:19:35 | |
But as new diesel and electric trains took over from steam, | 0:19:35 | 0:19:38 | |
the trees thrived. | 0:19:38 | 0:19:39 | |
Now the trees are mature. | 0:19:42 | 0:19:44 | |
Of course, conservation plays a part here, | 0:19:44 | 0:19:46 | |
but even if ecologists agreed, | 0:19:46 | 0:19:48 | |
it would cost £2.5 billion to remove the trees along our tracks, | 0:19:48 | 0:19:53 | |
making it financially unrealistic. | 0:19:53 | 0:19:55 | |
Instead, Network Rail can use high-speed water jets | 0:19:55 | 0:19:59 | |
which blast the leaves off the track, | 0:19:59 | 0:20:01 | |
and lay a mix of sand and aluminium, to aid traction. | 0:20:01 | 0:20:04 | |
But it's not only leaves on the line that cause delays. | 0:20:06 | 0:20:09 | |
There is something else that should never be only the line. | 0:20:09 | 0:20:12 | |
And that's us. | 0:20:12 | 0:20:13 | |
To give you an example, last year, not a single person was killed | 0:20:15 | 0:20:19 | |
whilst on a train, | 0:20:19 | 0:20:20 | |
but 20 people lost their lives by being accidently | 0:20:20 | 0:20:23 | |
hit by a train - and they were all trespassing on the railway lines. | 0:20:23 | 0:20:27 | |
As well as the loss of human life, | 0:20:29 | 0:20:31 | |
the effect on the network of such a tragedy is massive. | 0:20:31 | 0:20:35 | |
In January 2013, the cumulative delays caused by reports of | 0:20:36 | 0:20:41 | |
trespasses and collisions was a staggering 45 days. | 0:20:41 | 0:20:44 | |
When you analyse the data, the victims were trying to | 0:20:45 | 0:20:48 | |
retrieve a lost phone or wallet, they were taking a short cut, | 0:20:48 | 0:20:50 | |
and the vast majority were young males aged between 16 and 30 | 0:20:50 | 0:20:54 | |
coming home after a late night on the weekend. | 0:20:54 | 0:20:57 | |
Now, bravado and alcohol play a role in those fatalities, | 0:20:57 | 0:21:01 | |
but for all the victims, there might be another factor at play | 0:21:01 | 0:21:04 | |
that you might find surprising - hearing. | 0:21:04 | 0:21:07 | |
If I was standing on a track, I would be able to hear a train | 0:21:07 | 0:21:11 | |
coming towards me, definitely. | 0:21:11 | 0:21:13 | |
It's echoey and loud. You're going to hear it. It's going fast. | 0:21:13 | 0:21:18 | |
I'd imagine I would hear a train... | 0:21:18 | 0:21:21 | |
Probably. | 0:21:21 | 0:21:22 | |
They tend to make a bit of noise, | 0:21:22 | 0:21:24 | |
and occasionally they sound a horn, don't they? | 0:21:24 | 0:21:27 | |
More than a third of us are convinced we'd be able | 0:21:32 | 0:21:35 | |
to hear a train coming soon enough to get out of the way. | 0:21:35 | 0:21:38 | |
But could we? | 0:21:42 | 0:21:43 | |
Scientists at the University of Salford are finding out how | 0:21:46 | 0:21:49 | |
fast people can react to a speeding train using an anechoic chamber. | 0:21:49 | 0:21:54 | |
So this is what an anechoic chamber looks like. | 0:21:58 | 0:22:01 | |
Nice to meet you. | 0:22:01 | 0:22:03 | |
So what are we going to do in here? | 0:22:03 | 0:22:05 | |
So we are testing people's ability to detect an oncoming train | 0:22:05 | 0:22:08 | |
when they are standing by a rail track. | 0:22:08 | 0:22:11 | |
-So I'm going to be your guinea pig. -Yes. -What do you need me to do? | 0:22:11 | 0:22:14 | |
I need you to sit on that chair over there. | 0:22:14 | 0:22:16 | |
All right. | 0:22:16 | 0:22:18 | |
In this completely silent space, | 0:22:18 | 0:22:21 | |
Dr Fazenda will recreate the sound a train makes as it passes. | 0:22:21 | 0:22:24 | |
The moment I hear it, | 0:22:26 | 0:22:27 | |
I have to press the keyboard to stop the train and then | 0:22:27 | 0:22:30 | |
identify its direction and speed... | 0:22:30 | 0:22:33 | |
-All right, Bruno, let's go for it. -OK. | 0:22:33 | 0:22:36 | |
TRAIN APPROACHING | 0:22:38 | 0:22:40 | |
I think something was coming from the right. | 0:22:40 | 0:22:44 | |
TRAIN APPROACHING | 0:22:44 | 0:22:46 | |
-Slow. -OK. | 0:22:46 | 0:22:49 | |
-TRAIN ON RAILS -Left. | 0:22:51 | 0:22:54 | |
That was a fast train. | 0:22:54 | 0:22:56 | |
OK, so how did I do? | 0:22:57 | 0:22:58 | |
You missed one out of three | 0:22:58 | 0:23:00 | |
and unfortunately, one miss is one death. | 0:23:00 | 0:23:05 | |
-So I would be dead? -Yes, on one occasion. | 0:23:05 | 0:23:07 | |
It's far more difficult that I would have imagined. | 0:23:07 | 0:23:10 | |
Even with no distractions, I still got one wrong. | 0:23:12 | 0:23:15 | |
How much harder would it be in the outside world? | 0:23:17 | 0:23:20 | |
What would happen if your hearing was impaired or muffled | 0:23:24 | 0:23:27 | |
because you were listening to music on headphones, | 0:23:27 | 0:23:29 | |
or had just been at a loud concert or bar? | 0:23:29 | 0:23:32 | |
The reason why sound can become muffled after being exposed | 0:23:33 | 0:23:36 | |
to loud music in a nightclub is | 0:23:36 | 0:23:38 | |
actually due to a protective mechanism within the ear. | 0:23:38 | 0:23:41 | |
Your ear is made up of the outer, middle and inner ear. | 0:23:41 | 0:23:46 | |
And the eardrum is connected to the inner ear by three little | 0:23:46 | 0:23:50 | |
bones that lever to allow the sounds to reach the inner ear. | 0:23:50 | 0:23:55 | |
Now when you are exposed to loud music, | 0:23:55 | 0:23:56 | |
the brain registers this loudness and signals to the muscles | 0:23:56 | 0:24:00 | |
attached to these little bones to tense up. | 0:24:00 | 0:24:03 | |
And so, the bones don't lever quite so much, | 0:24:03 | 0:24:05 | |
and minimise the amount of sound which reaches the inner ear. | 0:24:05 | 0:24:08 | |
-LOUD MUSIC AND MUFFLED SPEECH -Now this is reversible - it's temporary hearing loss... | 0:24:08 | 0:24:12 | |
Now this is reversible - it's temporary hearing loss, | 0:24:12 | 0:24:16 | |
but it can last several hours depending on the length | 0:24:16 | 0:24:18 | |
of exposure and the loudness of the sound you have been exposed to. | 0:24:18 | 0:24:21 | |
Because we can't get our subject exposed to loud sound, | 0:24:26 | 0:24:30 | |
we filter the signals to emulate how we would hear the sound as | 0:24:30 | 0:24:36 | |
if they had been in a nightclub. | 0:24:36 | 0:24:37 | |
So it's going to be more muffled? | 0:24:37 | 0:24:39 | |
Yes. | 0:24:39 | 0:24:41 | |
But muffled hearing isn't the only factor at play here. | 0:24:41 | 0:24:44 | |
Another hazard is concentration. | 0:24:44 | 0:24:47 | |
In the first test, the train had my full attention. | 0:24:47 | 0:24:50 | |
But the reality is that much of the time we aren't | 0:24:50 | 0:24:53 | |
giving our surroundings our full attention because we are | 0:24:53 | 0:24:56 | |
listening to music, talking with friends or using our phones. | 0:24:56 | 0:25:00 | |
And I'm thinking, who would realistically | 0:25:02 | 0:25:04 | |
look at their phone when we are crossing the track? | 0:25:04 | 0:25:06 | |
But we are so used to hearing, "Beep-beep", | 0:25:06 | 0:25:08 | |
you are quite likely to whip it out and see who's been contacting you, | 0:25:08 | 0:25:12 | |
as you're doing something. | 0:25:12 | 0:25:13 | |
As I listen to the muffled sound, Dr Fazenda simulates this lack of | 0:25:15 | 0:25:19 | |
attention by having me read a book. | 0:25:19 | 0:25:22 | |
The book will give us the situation | 0:25:22 | 0:25:24 | |
where your attention is diverted into reading the book. | 0:25:24 | 0:25:27 | |
So you'll have to read a passage of this book out loud. | 0:25:27 | 0:25:30 | |
Out loud?! | 0:25:30 | 0:25:31 | |
Yes, so I know that you are actually paying attention, | 0:25:31 | 0:25:35 | |
and the task is still to tell me where the train is coming from. | 0:25:35 | 0:25:40 | |
I shall read the chapter on cake and carpentry. | 0:25:40 | 0:25:43 | |
That sounds very good. | 0:25:43 | 0:25:45 | |
"Whitstable is wonderful, the sort of place where Enid..." | 0:25:45 | 0:25:51 | |
Right. | 0:25:51 | 0:25:52 | |
Slowish, I think... | 0:25:52 | 0:25:54 | |
"The sort of place where Enid Blyton children still go to buy ginger pop | 0:25:54 | 0:25:58 | |
"and paper kites for a shilling..." | 0:25:58 | 0:26:00 | |
Whoa! That was a bit close. | 0:26:00 | 0:26:04 | |
Am I dead!? | 0:26:04 | 0:26:05 | |
"With shopping bags, off to buy | 0:26:05 | 0:26:07 | |
"a bit of haddock for his lordship's tea." | 0:26:07 | 0:26:10 | |
That was right and it was really fast. | 0:26:10 | 0:26:13 | |
-OK. -How many times did I die on the tracks? | 0:26:13 | 0:26:17 | |
I'm afraid you have died twice. | 0:26:17 | 0:26:19 | |
Why? What did I get wrong? | 0:26:21 | 0:26:23 | |
Both of these trains sneaked up on you before you were able | 0:26:23 | 0:26:26 | |
to tell they were there. | 0:26:26 | 0:26:28 | |
And what is more interesting is that | 0:26:28 | 0:26:30 | |
-you are getting your sides wrong a lot more and the speeds. -Really?! | 0:26:30 | 0:26:34 | |
So why did I get the direction wrong? | 0:26:34 | 0:26:37 | |
One of the things is because your hearing system | 0:26:37 | 0:26:40 | |
has been somewhat changed you are | 0:26:40 | 0:26:43 | |
missing out some of the frequency content which will give you a better | 0:26:43 | 0:26:47 | |
estimation of direction and that, of course, is one of the problems. | 0:26:47 | 0:26:51 | |
The other problem is that your attention is somewhere else, | 0:26:51 | 0:26:54 | |
so to estimate something that is a little bit more critical, | 0:26:54 | 0:26:57 | |
requires a bit more thought and you haven't got that cognitive | 0:26:57 | 0:27:01 | |
ability any more because you are focusing on something else. | 0:27:01 | 0:27:04 | |
It is shocking how dangerous this actually is from being distracted | 0:27:04 | 0:27:09 | |
a little bit from having been out in a loud place. | 0:27:09 | 0:27:12 | |
It's sobering. | 0:27:12 | 0:27:14 | |
Dr Fazenda has repeated this experiment with many | 0:27:17 | 0:27:20 | |
different subjects, and the results are always the same. | 0:27:20 | 0:27:23 | |
It all adds up - the way sound emanates from trains, | 0:27:31 | 0:27:34 | |
listening to loud music, distractions, | 0:27:34 | 0:27:36 | |
they are all a recipe for disaster | 0:27:36 | 0:27:38 | |
when it comes to accidents on rail tracks. | 0:27:38 | 0:27:40 | |
Let's face it, | 0:27:40 | 0:27:42 | |
there are only two places you should be on the railway - | 0:27:42 | 0:27:45 | |
safely on the platform or on the train. | 0:27:45 | 0:27:49 | |
Even with Crossrail and possibly HS2 coming on stream in the future, | 0:27:49 | 0:27:53 | |
our existing system will continue to be put under huge pressure | 0:27:53 | 0:27:57 | |
as passenger number increases. | 0:27:57 | 0:28:00 | |
The one thing we do know is that | 0:28:01 | 0:28:03 | |
passenger numbers are set to increase, | 0:28:03 | 0:28:05 | |
but with the right investment and the right technology, | 0:28:05 | 0:28:08 | |
the trains will run on time, most of the time. | 0:28:08 | 0:28:12 | |
Next week, Bang is asking if science can offer any relief | 0:28:16 | 0:28:19 | |
as the refugee crisis in Syria worsens... | 0:28:19 | 0:28:23 | |
In the meantime, to find | 0:28:23 | 0:28:25 | |
out about careers in the railways check out the website at /bang. | 0:28:25 | 0:28:28 | |
And to find out more about the science of rail, | 0:28:28 | 0:28:31 | |
follow the links to the Open University's interactive pages. | 0:28:31 | 0:28:35 |