Commuting to and from work can be a nightmare. Cars advance slowly in stop and go traffic, crawling from one traffic jam at stoplights to the next. At peak rush hour especially, there is no chance of sailing through a series of green lights. Now, thanks to artificial intelligence, German researchers have found a way to reduce time spent at the crossroads.
Called the KI4LSA project and funded by the Ministry of Transport and Digital Infrastructure, the innovation is being tested. Scientists first studied algorithms taken from a busy intersection to learn about traffic patterns and where improvements were most needed. Then, the technology, using high-resolution cameras and radar sensors, more precisely captured the actual traffic situation and detected the average speed of the cars and their waiting times. Finally, the AI uses deep enhanced learning algorithms to calculate the best switching behaviour for the traffic lights and determine the best phase sequence to shorten waiting times at the crossroads.
The results are encouraging when it is being tried out at a busy intersection in Lemgo, Germany. The intelligent lights are said to improve traffic flow by 10 to 15 percent, which results in money saved; the EU estimates that traffic jams create economic damage that adds up to 100 billion euros a year. Aside from reducing commuting time, these traffic lights will reduce noise and CO2 emissions from cars waiting at the crossroads.
Another exciting development in this research is the K14PED project, which studies pedestrians crossing the crossroads. Using AI as well as a 3D points cloud, researchers can identify how many people are waiting at a pedestrian crossing and whether some of the disabled or elder people will need extra time to cross the street. Such a needs-based system could reduce pedestrian waiting time by 30 percent, which could then decrease jaywalking (乱穿马路) by 25 percent.
Researchers are optimistic that it will be adopted by many countries after the tests in the German towns of Lemgo and Bielefeld. This technology is exciting news for pedestrians and drivers alike. It encourages safety, protects the environment, and may even give you more time to enjoy your morning coffee before heading off to work!
【小题1】Why is AI used in the KI4LSA project?A.To study traffic algorithms to control CO2 emissions. |
B.To detect road conditions to reduce jam or speeding. |
C.To remind people to pass in sequence for a shorter wait. |
D.To adjust traffic signals to ensure efficiency at the crossroads. |
A.The intelligent lights serve the mere purpose of reducing commuting time. |
B.The better traffic flow is improved, the less economic damage is caused. |
C.The more cars are waiting at the crossroads, the more noise is reduced. |
D.The effect of traffic jams is heavier on environment than on economy. |
A.It monitors traffic conditions at intersections. |
B.It helps to estimate the number of jaywalkers. |
C.It ensures flexible crossing time for pedestrians. |
D.It improves the speed of vehicles on busy roads. |
A.The intelligent lights offer a blessing to transportation. |
B.The AI technology is bound to be a promising industry. |
C.Attentive traffic service lends a helping hand to seniors. |
D.Digital traffic systems mark the beginning of smart cities. |
Sustainable Transport in Cities
Transporthas always shaped cities. In Medieval times crossroads gave birth to bloomingmarket towns. Many North American cities were created for the car. But how arethe cities of today being shaped by a need for more sustainable transport?
Manylocal governments are speeding up change through policy initiatives such asjoined transport, congestion charges and low emission zones, sustainablegaining and life-cycle costing, and opening data up to companies and academics.And these city level policies can move markets in more sustainable directions.
The least dense cities, for example, Houston, have per capita(人均价)carbonemissions nearly ten times higher than the densest, such as Singapore.
Light weighing and new engine and fuel technologies are helping to make existing road and rail vehicles more efficient.
A.Many options require city - level investment in new facilities. |
B.However, it is not yet clear which technologies and fuels cities will back. |
C.Through their actions, city governments today are helping to shape the cities of the future. |
D.For example, London is requiring all newly licensed taxis to be zero - emission capable from 2018. |
E.City planners are using transport - oriented development to increase density while maintaining quality of life and property value. |
F.Some cities, such as Delhi, are investing heavily in creating the mass transport systems needed to change how citizens travel. |
A recent study led by researchers from the National University of Singapore (NUS) has found a clear link between the color of a taxi and its accident rate. An analysis of 36 months of detailed taxi, driver and accident data from two fleets of yellow and blue taxis in Singapore suggested that yellow taxis have fewer accidents than blue taxis. The higher visibility (能见度) of yellow makes it less difficult for drivers to avoid getting into accidents with yellow taxis, leading to a lower accident rate.
The study was led by Prof Ho. To test whether there was a relationship between the color of a taxi and the number of accidents the taxi had, the research team analysed data collected by the largest taxi company in Singapore. The researchers found that yellow taxis have about 6. 1 fewer accidents per 1,000 taxis per month.
They also studied the economic effect of changing the color of the entire fleet of taxis to yellow. The Singapore taxi company involved in the study owns about 16,700 taxis in a ratio(比例) of one yellow to three blue taxis. If a commercial decision is made to switch from blue to yellow taxis, 76.6 fewer accidents will occur per month or 917 fewer accidents per year.
Assuming an average repair cost of $1,000 per car and a downtime of six days, the color of all taxis to yellow could produce an annual saving of $ 2 million.
“We are eager to continue to validate (证实) the findings of our study by looking at the use of yellow in other types of public transport, such as school buses. For example, we hope to compare the accident rates of yellow school buses against those of other colors to find out if yellow is indeed a safer color for school buses. Besides, we’re also interested to look at private-hire vehicles and do a comparison of the accident rates of vehicles that are of different colors.” Explained Prof Ho.
【小题1】Why do yellow taxis result in fewer accidents?A.Because yellow can be seen more easily. |
B.Because yellow signals a warning of danger. |
C.Because drivers tend to be more careful in yellow taxis. |
D.Because people act more quickly in yellow surroundings. |
A.Physical risks taxi passengers experience. |
B.The economic effect of changing taxi color. |
C.Data from Singapore’s largest taxi company. |
D.Personal reports from taxi drivers worldwide. |
A.School buses should be painted yellow. |
B.Their findings are worth popularizing. |
C.Their study will be furthered. |
D.Yellow should be widely used in public transport. |
A.Caution: yellow taxis ahead | B.Safer to ride in yellow taxis |
C.Why are yellow taxis preferred? | D.How can colors help prevent accidents? |
A self-driving bus, made by CRRC Electric Vehicle Co Ltd, performed a trial run in Paris, France. Smart electric buses made in China are scheduled to start regular passenger services on open roads in autumn next year.
Demand for environmentally friendly public transport vehicles is rising in many parts of the world, especially in Europe. The company put a 12-meter-long self-driving bus on a trial run in Paris last week. The autonomous vehicle cleared a 6-kilometer route in southeast Paris on Friday. In about 40 minutes, the bus passed 26 traffic lights and 10 bus stops.
Benjamin Joliviere, a French engineer, said the results of the trial were "more than positive". It was the first time in France that a self-driving bus ran on a regular bus route.
Francois Yann, a bus driver, sat in the driver's seat during the trial run. "Once we had done the training and saw the vehicle in operation, we found it performed actually quite well," he said. “It feels like a technology we were dreaming about when we were kids. And now, it's all happening ...”.
In recent years, smart bus trials have been held in a number of Chinese cities. CRRC Electric Vehicle said the trial operations of Shanghai's first autonomous bus line began last month. The 8.5-km line with eight platforms opened to the public in mid-August. It takes a bus 35 to 40 minutes with 14 bus stops to complete the ride. The autonomous vehicles can automatically respond to 15 traffic lights, pull over, and open and close their doors.
Thanks to the rapid development of digital, intelligent and green technologies in transport, Chinese companies are seeking commercial opportunities. They are pioneering a new wave of technological breakthroughs.
【小题1】The trial run was described in paragraph 2 by _________A.listing data | B.giving examples |
C.showing a diagram | D.having a contrast |
A.He had many dreams in his childhood. |
B.He has been longing to drive such a vehicle. |
C.He joined the company in designing the bus. |
D.He thought the technology is not worth it. |
A.People desire for riding smart buses. |
B.Smart buses have been widely used in China. |
C.China leads the way in smart buses. |
D.Smart buses have been sold to many countries. |
A.Bus stops | B.Route length |
C.Traffic lights | D.Riding time |
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