Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. At unmanaged junctions, a pattern

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问题     Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. At unmanaged junctions, a pattern of stop-go movement can still be frustrating and burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle’s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps.
    For a driver to benefit, he must load the special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car’s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red, amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and—if there are enough of them—the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights.
    Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98. 2% and 96. 3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded(嵌入)under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too—by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience.
What do we learn about SignalGuru from the second paragraph?

选项 A、It can design a daily traffic-light schedule in a specific region.
B、It is intended to keep track of traffic jams in the morning rush hour.
C、It enables phones to share information of the status of traffic lights.
D、It works as a brake that slows down the car when traffic lights are red.

答案C

解析 事实细节题。本段对SignalGuru这一特殊软件的相关情况进行了介绍。其中第三句介绍了SignalGuru的一个功能特点:它能将信息传送到该区域安装有同样软件的其他手机上,这样每部手机就会了解全城大多数交通灯的状态。故C)“它能够使手机相互分享交通灯状态的信息”为正确答案。
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