Browse content similar to We All Had a Car?. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
full recount of the poll. Now it is There are more than 1 billion | :00:17. | :00:21. | |
Karzai in the world today. By 2050 they could be up to 4 billion. But | :00:21. | :00:27. | |
what will we do with them all and where will they go? In countries | :00:27. | :00:33. | |
such as India, Brazil, Russia and China, as people get richer, they | :00:33. | :00:39. | |
won the trappings of success and for many that means a car. But the | :00:39. | :00:43. | |
global gridlock is looming ever larger. So what can we do about it? | :00:44. | :00:48. | |
And the car itself become a tool for cutting congestion and | :00:48. | :00:53. | |
preventing pollution? How about a car which can fall -- fold up to | :00:53. | :00:58. | |
use less space? Artificial intelligence, a robot vehicles | :00:58. | :01:01. | |
which thing for themselves, and the fast as electric car you have ever | :01:01. | :01:11. | |
:01:11. | :01:25. | ||
This is mourned by, a fast-growing city and a symbol of the country's | :01:25. | :01:30. | |
economic success but it has a problem or rather 1.8 million | :01:30. | :01:34. | |
problems - that is how many cars, buses, motorcycles and rickshaws | :01:34. | :01:38. | |
are on the streets. There is not enough road to go round. It is one | :01:38. | :01:42. | |
of the most congested cities in the world. They have tried very | :01:42. | :01:46. | |
solutions, including public transport is one option. The Mumbai | :01:46. | :01:51. | |
metro is behind schedule, over budgets and not nearly finished. | :01:51. | :01:57. | |
The man Riyong - behind schedule, over Budget and not nearly finished. | :01:57. | :02:00. | |
This amazing bridge was meant to take traffic down the coast and | :02:00. | :02:09. | |
away from the city. But it was never finished. It just stops. The | :02:09. | :02:12. | |
trouble with projects like these they take time and trouble to build. | :02:12. | :02:20. | |
the City just keeps growing day after day. It is my job to try and | :02:20. | :02:29. | |
keep the traffic moving because the volumes that we have in mourned by, | :02:29. | :02:34. | |
both of the population and vehicle numbers, it is enormous. We have | :02:34. | :02:42. | |
450 vehicles being registered every day - each day. What is it like the | :02:42. | :02:47. | |
traffic in a city like this. I went for a ride with a journalist who | :02:47. | :02:57. | |
drives for a living. On a daily basis, it is like hopscotch in on a | :02:57. | :03:03. | |
minefield. Honestly, it is not just the traffic, it is the road users. | :03:03. | :03:09. | |
Everybody seems to abuse the road. You have bicycles, Voss cards, or | :03:09. | :03:16. | |
all kinds of things which are all over the place. -- oxcarts. It is | :03:16. | :03:23. | |
never a mechanical process and just to drive. It is quite a challenge. | :03:23. | :03:28. | |
He drives a Tata Nano, a small car designed especially for the Indian | :03:28. | :03:34. | |
market. But young people prefer something rather larger. For the | :03:34. | :03:38. | |
love affair with cars in India is very much on the increase, unlike | :03:38. | :03:44. | |
in the West where it is winning. People are still very much... Let's | :03:44. | :03:49. | |
say, they laugh cars, they're very aspirational. Over here people | :03:49. | :03:57. | |
think it is very cool. In the West, it is not politically correct to | :03:57. | :04:01. | |
find something like that. That kind of thinking or mindset has not | :04:01. | :04:08. | |
quite reached over here. That is one city. The truth is, Mumbai's | :04:08. | :04:14. | |
problems are far from unique. Around the world, from Sao Paolo to | :04:14. | :04:18. | |
Shanghai, cities are getting bigger and bigger and the challenge of | :04:18. | :04:25. | |
keeping traffic moving is getting harder. In Boston, I came to find | :04:25. | :04:29. | |
out exactly what technology can offer to help the gridlock in their | :04:29. | :04:34. | |
megacities of the future. Some of the most original reiginal reiginal | :04:34. | :04:40. | |
could change the way we think about it, he's been done up at the MIT. | :04:40. | :04:47. | |
I'm here to make Kent Larsen, a renowned expert of city living. | :04:47. | :04:52. | |
picked a beautiful day. Let's go see what we're doing. If Rakhine | :04:53. | :04:57. | |
see what we're doing. If Rakhine can fold, he can drop down, and get | :04:57. | :05:04. | |
into a submissive posture. -- if a car. He says that the cities are | :05:04. | :05:08. | |
being built around the car. In the past, most of the things could be | :05:08. | :05:12. | |
found within walking distance but not any more. In most of the new | :05:12. | :05:18. | |
cities, it is the opposite model. The idea is to separate all the | :05:18. | :05:23. | |
functions. Would housing over here, commercial and a here, build a | :05:23. | :05:29. | |
shopping centre here and can make everything with the roadway. Allow | :05:29. | :05:32. | |
anybody who wants it can't have one and make sure there is enough | :05:32. | :05:37. | |
parking when people get there. That works in a relatively small area on | :05:37. | :05:41. | |
a suburban model but when you get to these mega CDs, with tens of | :05:42. | :05:46. | |
millions of people, it is completely unsustainable. -- | :05:46. | :05:51. | |
megacity. One thing I hate about driving in the City is that some | :05:51. | :05:56. | |
point you have to find some way to pint you can never find space. The | :05:56. | :06:00. | |
guys at MIT think they may have come up with a solution which could | :06:00. | :06:05. | |
make that easier. What makes it special lies in the wheels. This is | :06:05. | :06:10. | |
it - a small futuristic folding car with unique features in its design. | :06:10. | :06:16. | |
The length of that vehicle is the with of the conventional car. It | :06:16. | :06:21. | |
allows you to go nose into the curve in a parallel parking | :06:21. | :06:29. | |
scenario seeking get three 1/2 in the space of a conventional car. If | :06:29. | :06:35. | |
you're introducing a fleet, it is a huge advantage in CD were parking | :06:35. | :06:42. | |
is limited - to have free pass because available to you. -- three | :06:42. | :06:52. | |
:06:52. | :06:57. | ||
plus. This is an exhibition were put together. Over here, we have | :06:57. | :07:03. | |
the city car itself. This is a model. We would have to shrink | :07:03. | :07:09. | |
people down 50%. This is a half scale model. It is a fully | :07:09. | :07:12. | |
functional electric with the verdict will. And that gives us an | :07:12. | :07:19. | |
idea of what it looks like. We have basically the chassis of it. It is | :07:19. | :07:22. | |
a party piece that does the secret to the whole thing. This is the | :07:23. | :07:30. | |
robot will. Steering, braking, or incorporated into one more draw. We | :07:30. | :07:37. | |
are able to control each and we all. For example this will can turn. It | :07:37. | :07:44. | |
allows for is the parallel parking. It also allows us to have an | :07:44. | :07:48. | |
manoeuvrable the Costa Rican fold it. Even somebody like me, who does | :07:48. | :07:53. | |
not part very well it should be a snap? It should be a snap.You | :07:53. | :07:58. | |
might think that sounds a bit futuristic and out of the realm of | :07:58. | :08:04. | |
science fiction but have a look at this - it is called the Aggreko | :08:04. | :08:14. | |
fold -- Hiriko. It does exactly what it says on the tin. It has no | :08:14. | :08:20. | |
side doors so you are going to show me how to get in and out of it? | :08:20. | :08:28. | |
Through the front door. This is something new. For the security and | :08:28. | :08:35. | |
everything, you can go inside, police, get inside. It is like | :08:35. | :08:44. | |
being in a fighter plane. This is something that theoretically, now | :08:44. | :08:51. | |
we can close the door, and at first, we have to take and the charging | :08:51. | :08:56. | |
cable. And we close the Canonbie and we are clear for take-off. | :08:56. | :09:03. | |
we are clear for take-off. -- canopy. This car does not do | :09:03. | :09:11. | |
absolutely everything that the MIT imagine. Something had been | :09:11. | :09:15. | |
sacrificed because regulators will not allow them or because of cost. | :09:15. | :09:21. | |
The selling point is unique. will be like a taxi without the | :09:21. | :09:27. | |
driver. You will be the driver. You only pay for the minutes of for the | :09:27. | :09:34. | |
time that you want to have it in your possession. When you finish, | :09:34. | :09:40. | |
and if you arrive, to be a target, you finish the contract and you are | :09:40. | :09:49. | |
free. I know you have a very unusual marketing? Do not buy this | :09:49. | :09:59. | |
:09:59. | :10:00. | ||
car. Pay only for the usage. this is no pipe dream. The Hiriko | :10:00. | :10:06. | |
is going into production. This is the completed prototype. Over here, | :10:06. | :10:11. | |
you have cars in various stages of completion. This is where you going | :10:11. | :10:14. | |
to be building the production models? Yes. They will hit the | :10:14. | :10:20. | |
streets of Berlin later this year. Other cities are also looking at it. | :10:20. | :10:29. | |
For the rain car-sharing programmes. How many models to thank you will | :10:29. | :10:35. | |
be able to produce in a day? target is to have five units per | :10:35. | :10:40. | |
day. A good way to beat traffic jams already exists and it is | :10:40. | :10:44. | |
pretty popular in cities like Mumbai - it is called a motorbike. | :10:44. | :10:48. | |
The trouble is, it is not everybody's cup of tea. If you're | :10:49. | :10:54. | |
out in the open, exposed to the fumes, it can be dangers as well. | :10:54. | :10:59. | |
In San Francisco, mechanics hope to solve these problems. In California, | :10:59. | :11:04. | |
there is a rich tradition of gigs in garages building multi-million- | :11:04. | :11:07. | |
dollar businesses. Its inventor things this slick to Willa could be | :11:07. | :11:15. | |
the next big thing. This is the future of transportation. My first | :11:15. | :11:23. | |
question theories, is it a car or a bike? It is both. It is the best of | :11:23. | :11:30. | |
both worlds. We take the romance and efficiency of a motorcycle and | :11:30. | :11:34. | |
we combine that with the safety of a motor-car. It is a new class of | :11:34. | :11:39. | |
vehicle. You drive like a car but it means like a motorcycle. It is | :11:39. | :11:44. | |
absolutely phenomenal. That is the point. It cannot four-over? | :11:44. | :11:52. | |
Absolutely not. It is very, very say. You need a baby elephant to | :11:52. | :12:02. | |
knock it over. It is electric?All- electric, to wheel drive. The 0 to | :12:02. | :12:08. | |
60 in about six seconds. It runs on batteries. How far can this go on a | :12:08. | :12:13. | |
single charge? We are looking at single charge? We are looking at | :12:13. | :12:21. | |
around 200 miles per charge. The future has to be fine. The steel | :12:21. | :12:28. | |
platform allows it to happen. -- this little platform. What kind of | :12:28. | :12:33. | |
market? What could do? And this is market? What could do? And this is | :12:33. | :12:36. | |
a vehicle for the masses. My ultimate go?I ? ultimate go? | :12:36. | :12:41. | |
impact in the transportation world. And this could be very applicable | :12:41. | :12:49. | |
And this could be very applicable And this could be very applicable | :12:49. | :12:52. | |
UK. It comes down to whether the public accepts this as the next | :12:52. | :12:55. | |
form of transportation and it form of transportation and it | :12:55. | :13:05. | |
:13:05. | :13:05. | ||
Apology for the loss of subtitles for 81 seconds | :13:05. | :14:26. | |
look at thi?I ? look at thitwo We can make cars a lot smaller and | :14:26. | :14:30. | |
feed more than one he wrote. On its own, that will not solve the | :14:30. | :14:33. | |
problems of congestion or cut pollution. It is increasingly | :14:33. | :14:38. | |
becoming clear that future cars will behave more like robots, but | :14:38. | :14:41. | |
by computers. For that reason, a lot of the ground-breaking research | :14:41. | :14:47. | |
being carried out is not being done in the traditional homeland water | :14:47. | :14:55. | |
industry like in Stuttgart but in California. -- automobile industry. | :14:55. | :14:58. | |
Leading the way, Stanford University in the heart of Silicon | :14:58. | :15:02. | |
Valley. This car was built to test computerised systems, meant to help | :15:02. | :15:07. | |
the human driver. It feels different. All it wigeon if you | :15:07. | :15:12. | |
have from a normal car translate very well. -- intuition. You are | :15:12. | :15:17. | |
not driving the card the moment. The computer is. It is technically | :15:17. | :15:25. | |
applying all of it. The same thing is occurring growth the drive | :15:25. | :15:30. | |
motors. We have a big electric motor powering the vehicle. We have | :15:30. | :15:36. | |
a sensor on the accelerator and Pottle. -- a celebrating pedal | :15:36. | :15:41. | |
force we have packed the vehicle for all of capabilities. And they | :15:41. | :15:46. | |
are excited to see whether it takes us. The heart of it is a computer. | :15:46. | :15:51. | |
Yes. That is the single will have to get used to in the future. You | :15:51. | :15:54. | |
may have a steering wheel in your hand but it is the computer doing | :15:55. | :15:59. | |
the work. Yes. What is cool about her that is the computer can | :15:59. | :16:04. | |
respond more quickly than a human drama ever could. This machine | :16:04. | :16:08. | |
still needs a human at the wheel. But the university has also | :16:08. | :16:13. | |
developed cars that can do without a drive altogether. Sven Beiker is | :16:13. | :16:16. | |
head of the research centre at Stanford. He thinks there are | :16:16. | :16:20. | |
things that computers can simply do better. We are very good at | :16:21. | :16:26. | |
understanding a situation. We are not good at controlling a vehicle. | :16:26. | :16:31. | |
It is just the speed and distance of the car in front of me, we | :16:31. | :16:35. | |
believe if we automate much of that, we can come to a smoother traffic | :16:35. | :16:41. | |
flow. And less congestion. Computers can do it better? Yes. | :16:41. | :16:46. | |
That is our true belief. If you look at a highway at peak were | :16:46. | :16:52. | |
traffic, only about 20-put 5% of the surface area of the highway is | :16:52. | :16:58. | |
occupied the cause. The rest is the safety model. You should use it. | :16:58. | :17:02. | |
But the computer might use a different safety model because it | :17:02. | :17:08. | |
is faster. We could fit more cars on the road, reducing congestion. | :17:08. | :17:14. | |
The big names in the motor industry are helping and replacing the human | :17:14. | :17:18. | |
driver. Some have already produced their own driverless cars. Working | :17:18. | :17:25. | |
out how best to use them is far from simple. How do those it | :17:25. | :17:30. | |
vehicles interact with humans? Let us be honest. I'm pretty much sure | :17:30. | :17:35. | |
that we have gone over the speed limit. We thought, you know what? | :17:35. | :17:44. | |
Sure. I should not have parked here but it is for two seconds. How does | :17:44. | :17:49. | |
an automated vehicle deal with that? It has to follow the laws | :17:49. | :17:54. | |
exactly. It may not have the concept of others being more | :17:54. | :17:58. | |
creative. It might mean that an automated vehicle may be slow were | :17:58. | :18:03. | |
in traffic. Hard as everyone else respond to that? There are | :18:03. | :18:07. | |
challenges on human side and legal side. What happens if something | :18:07. | :18:13. | |
goes wrong? That is where work is happening. Many questions to be | :18:13. | :18:17. | |
answered that are not technologically based. Google is at | :18:17. | :18:21. | |
the forefront of driverless car research. This is how it sees the | :18:21. | :18:25. | |
world. It can track moving Objects and react to objects around them | :18:25. | :18:31. | |
but not in the same way that we do. This is not a forecast. This is | :18:31. | :18:36. | |
happening already. We have enough robotic cars on highways in a | :18:36. | :18:40. | |
Silicon Valley. They actually get in the way. How do you tell a | :18:40. | :18:44. | |
Google robotic car on the highway that it is the only car driving the | :18:44. | :18:49. | |
speed limit and using the civil? Professors also have to get to | :18:49. | :18:54. | |
class. More than once, I have been on my way racing to class on campus. | :18:54. | :19:00. | |
I got stuck bid. -- behind the Don googled rebutted car. This | :19:00. | :19:06. | |
revolution is helping us. How will pure beings react been surrounded | :19:06. | :19:10. | |
by soft driving machines? Will they dare crossing the road is it means | :19:10. | :19:14. | |
walking in front of the car without any driver? Back at MIT in Boston, | :19:14. | :19:18. | |
they are working on that problem. Coming up with some remarkable | :19:18. | :19:25. | |
solutions. Before I try and cross the road, she should see it? Yes. | :19:25. | :19:30. | |
Hello, is the tough. She is looking at me. Before across the road, she | :19:30. | :19:38. | |
is following me. -- Evita are. is also safer you to walk. The idea | :19:38. | :19:43. | |
behind this is that you can relate to the car as if it were human? | :19:43. | :19:48. | |
Exactly. We tried different strategies. This is the autonomous | :19:48. | :19:53. | |
testing a rate. The contest different things. The people's art | :19:53. | :19:59. | |
dilated. The eyeballs are tracking you. It is making contact. There is | :19:59. | :20:07. | |
directed audio. It can through and the city at you. A message for you | :20:07. | :20:14. | |
to cross. There was have LED likes that change colour as you approach. | :20:14. | :20:18. | |
You could have a winners and proximity. Putting this together, a | :20:19. | :20:22. | |
self driving car that Ford's up and interacts with you and looks at you, | :20:22. | :20:28. | |
is it a car or something different? It is an electronic vehicle. It is | :20:28. | :20:36. | |
not a car. It is not a conventional car. It is a new type of connected, | :20:36. | :20:45. | |
intelligent, aware, mobility mode. By making cars intelligent and | :20:45. | :20:49. | |
releasing them from human control, we should be able to fit more on | :20:49. | :20:53. | |
the road. That could reduce congestion. Tailoring the | :20:53. | :20:58. | |
technology to a city like Mumbai is a formidable challenge. Robot cars | :20:58. | :21:02. | |
as you say are probably decide to work in a place where there is a | :21:02. | :21:07. | |
certain order. I do not know how those cars will react if you had a | :21:07. | :21:11. | |
motorcyclist coming down the wrong way directly at you. I did think it | :21:11. | :21:16. | |
would be programmed to factor in that sort of situation. It is just | :21:16. | :21:21. | |
a bit too crazy on the roads over here. We have looked at ways to cut | :21:21. | :21:26. | |
congestion. What about pollution? Petrol or diesel power may one day | :21:26. | :21:30. | |
become socially unacceptable. Otherwise, the fumes from millions | :21:30. | :21:35. | |
of cars may slowly choke us all with smog. The electric cars would | :21:35. | :21:39. | |
be cleaner. Generally speaking, people do not like them. They are | :21:40. | :21:48. | |
widely seen as slow, impractical and dull. What about this? This car | :21:48. | :21:55. | |
runs on batteries. It has been designed as a high-speed test for | :21:55. | :22:01. | |
Anna to cast technology. We have to knowledge is which represent the | :22:01. | :22:07. | |
today. We have a carbon x a skeleton inside of which we have | :22:07. | :22:14. | |
the batteries, on top of it, the computer which controls the car, | :22:14. | :22:20. | |
and inside there, four electric motors developed by Oxford | :22:20. | :22:26. | |
University, probably the world's debt and a trip motor today. It is | :22:26. | :22:31. | |
driving the high and wheels, producing a total of 850 horsepower. | :22:31. | :22:36. | |
-- kind of deals. I believe we do see this car racing on a track, it | :22:36. | :22:41. | |
is shouting at you. This is what the future can be like. It is | :22:41. | :22:44. | |
really cool. We should not be frightened of that future. We have | :22:44. | :22:49. | |
to embrace it. We have this sort difficult engineering and science | :22:49. | :22:53. | |
problems to get there. But engineering, being what it is, if | :22:53. | :22:58. | |
we commit ourselves, we can do it. We can have it could perfect | :22:58. | :23:01. | |
combination. The lifestyle that we want without damaging the planet in | :23:01. | :23:07. | |
which we have done up to now. all about lifestyle. There is no | :23:07. | :23:10. | |
point in developing new technology is nobody wants to use them. Some | :23:10. | :23:14. | |
experts believe that he did well as around the world are ready to | :23:14. | :23:17. | |
reject old-fashioned ideas about car ownership and a brace this | :23:17. | :23:21. | |
brave new world of shiny miniature electric powered machines that | :23:21. | :23:27. | |
nobody actually owns. -- embrace. We are all at collectively coming | :23:27. | :23:34. | |
to the conclusion that owning a car is quite mad. This thing cost tens | :23:34. | :23:39. | |
of thousands of dollars. Even one heavily used, it sits for 83 art of | :23:39. | :23:43. | |
good for hours every day unused. You have to pay for repairs and | :23:43. | :23:48. | |
parking in the city. Would it not be so much nicer if you had a car | :23:48. | :23:52. | |
when you need it and it would simply disappear when you did not? | :23:52. | :23:57. | |
That is the kind of world we may be headed towards. Whether we own cars | :23:57. | :24:01. | |
or rent them by the hour, Samoa have to manufacture them. Many of | :24:01. | :24:05. | |
the biggest car companies are working hard to find moderns | :24:05. | :24:12. | |
ablutions of the problem of gridlock. -- solutions. Henry | :24:12. | :24:18. | |
Ford's great grandson wants to continue that tradition. I look at | :24:18. | :24:22. | |
the history of our company. My great-grandfather talk -- brought | :24:22. | :24:26. | |
the freedom of my ability to the average person. That was a great | :24:26. | :24:30. | |
thing for the world. As I look forward, I would like to | :24:30. | :24:33. | |
reinterpret that vision and bring the freedom of an ability to | :24:33. | :24:37. | |
everyone in the world once again included people who live in large | :24:37. | :24:44. | |
urban areas. -- mobility. It takes a leap of faith. Universities are | :24:44. | :24:49. | |
taking hold in a modern city like Mumbai. That alone like a mega | :24:49. | :24:54. | |
metropolis of the future. Getting rid of the traffic jams without the | :24:54. | :24:58. | |
cars was ever going to be easy. Certainly, says the new colleges | :24:58. | :25:02. | |
can make a difference. What works well in Europe or America may not | :25:02. | :25:06. | |
be practical or affordable in other countries. Anyway, that us be | :25:06. | :25:11. |