双语新闻：谷歌表示，人工智能系统正在改善城市交通流量
Google says an artificial intelligence (AI)-powered system it created is helping improve traffic flow in major world cities.
谷歌表示，其开发的人工智能(AI)驱动系统正在帮助改善世界主要城市的交通流量。
The system, called Project Green Light, is currently in use in 12 cities. The project aims to save fuel and lessen air pollution, or emissions, from automobiles.
该系统被称为“绿灯计划”，目前已在12个城市投入使用。该项目旨在节省燃料，减少汽车的空气污染或排放。
Google first announced the program in 2021, when it was testing the system in four areas of Israel. Since then, the company has kept expanding Project Green Light. Among cities now taking part in the program are Bangalore, Budapest, Jakarta, Manchester, Haifa, Hamburg, Rio de Janeiro, and Seattle.
谷歌于2021年首次宣布了该计划，当时它正在以色列的四个地区测试该系统。从那时起，该公司一直在扩大“绿光计划”。目前参与该计划的城市包括班加罗尔、布达佩斯、雅加达、曼彻斯特、海法、汉堡、里约热内卢和西雅图。
In an online announcement, Google's Yossi Matias explained the latest progress. He noted that the system is being tested in areas with severe traffic issues. Generally, this is at major crossings with heavy traffic and complex traffic lights. These areas where vehicles start and stop are known as intersections.
在一份在线声明中，谷歌的Yossi Matias解释了最新的进展。他指出，该系统正在交通问题严重的地区进行测试。一般来说，这是在交通繁忙和交通信号灯复杂的主要十字路口。这些车辆开始和停止的区域被称为十字路口。
The company said research has shown that at such intersections, automobile emissions can be 29 times higher than on open roads. In addition, Google's own research found that vehicles that must stop and start account for about half of those emissions.
该公司表示，研究表明，在这样的十字路口，汽车的排放量可能比开放道路高出29倍。此外，谷歌自己的研究发现，必须停车和启动的车辆约占这些排放量的一半。
Project Green Light uses individual driver data from Google Maps. This data is combined with AI methods to produce models of each intersection where the system is in place, the company says. The data from Maps is also used to create another model on how different traffic lights interact.
绿灯计划使用来自谷歌地图的个人司机数据。该公司表示，这些数据与人工智能方法相结合，生成系统所在的每个十字路口的模型。来自Maps的数据还用于创建另一个模型，以了解不同的交通灯如何相互作用。
The modeling process for intersections considers several elements. These include the structure of streets, traffic flows, signal scheduling and how the vehicles interact with lights.
交叉口的建模过程考虑了几个元素。这些包括街道结构、交通流量、信号调度以及车辆如何与灯光相互作用。
The models are used to reduce stop and start times and create smoother traffic flows, a process called optimization. Google says one goal is to optimize multiple intersections at the same time to create "waves of green lights" for vehicles on the road.
这些模型用于减少停车和启动时间，创造更顺畅的交通流量，这一过程被称为优化。谷歌表示，目标之一是同时优化多个十字路口，为道路上的车辆创造“绿灯波”。
谷歌表示，其开发的人工智能(AI)驱动系统正在帮助改善世界主要城市的交通流量。
The system, called Project Green Light, is currently in use in 12 cities. The project aims to save fuel and lessen air pollution, or emissions, from automobiles.
该系统被称为“绿灯计划”，目前已在12个城市投入使用。该项目旨在节省燃料，减少汽车的空气污染或排放。
Google first announced the program in 2021, when it was testing the system in four areas of Israel. Since then, the company has kept expanding Project Green Light. Among cities now taking part in the program are Bangalore, Budapest, Jakarta, Manchester, Haifa, Hamburg, Rio de Janeiro, and Seattle.
谷歌于2021年首次宣布了该计划，当时它正在以色列的四个地区测试该系统。从那时起，该公司一直在扩大“绿光计划”。目前参与该计划的城市包括班加罗尔、布达佩斯、雅加达、曼彻斯特、海法、汉堡、里约热内卢和西雅图。
In an online announcement, Google's Yossi Matias explained the latest progress. He noted that the system is being tested in areas with severe traffic issues. Generally, this is at major crossings with heavy traffic and complex traffic lights. These areas where vehicles start and stop are known as intersections.
在一份在线声明中，谷歌的Yossi Matias解释了最新的进展。他指出，该系统正在交通问题严重的地区进行测试。一般来说，这是在交通繁忙和交通信号灯复杂的主要十字路口。这些车辆开始和停止的区域被称为十字路口。
The company said research has shown that at such intersections, automobile emissions can be 29 times higher than on open roads. In addition, Google's own research found that vehicles that must stop and start account for about half of those emissions.
该公司表示，研究表明，在这样的十字路口，汽车的排放量可能比开放道路高出29倍。此外，谷歌自己的研究发现，必须停车和启动的车辆约占这些排放量的一半。
Project Green Light uses individual driver data from Google Maps. This data is combined with AI methods to produce models of each intersection where the system is in place, the company says. The data from Maps is also used to create another model on how different traffic lights interact.
绿灯计划使用来自谷歌地图的个人司机数据。该公司表示，这些数据与人工智能方法相结合，生成系统所在的每个十字路口的模型。来自Maps的数据还用于创建另一个模型，以了解不同的交通灯如何相互作用。
The modeling process for intersections considers several elements. These include the structure of streets, traffic flows, signal scheduling and how the vehicles interact with lights.
交叉口的建模过程考虑了几个元素。这些包括街道结构、交通流量、信号调度以及车辆如何与灯光相互作用。
The models are used to reduce stop and start times and create smoother traffic flows, a process called optimization. Google says one goal is to optimize multiple intersections at the same time to create "waves of green lights" for vehicles on the road.
这些模型用于减少停车和启动时间，创造更顺畅的交通流量，这一过程被称为优化。谷歌表示，目标之一是同时优化多个十字路口，为道路上的车辆创造“绿灯波”。
