谷歌研究院近日发布文章，分享了其研发的一种能够有效解决城市交通拥堵问题的人工智能（AI）模型。据称，该模型已在2023年8月及11月在美国西雅图的一项大型活动上进行了实际应用，并取得了显著的效果。
据了解，谷歌与西雅图交通部门合作，将这项名为“交通疏导”的AI模型应用于大型活动中的交通管理。通过与“动态引导显示屏”配合使用，该模型成功地平均缩短了7分钟的拥堵时间，提升了30%的交通效率。
谷歌的研究人员表示，他们使用的是一种开源模拟软件SUMO（Simulation of Urban Mobility），该软件能够帮助预测和优化城市交通流量。而他们的AI模型则是在此基础上进行开发，通过对大量实时数据的分析，能够在出现交通拥堵时，自动调整信号灯的时间间隔，以缓解交通压力。
此外，该模型还具有良好的可扩展性，可以适应不同城市的交通状况，并且可以根据需要进行定制化设置。因此，未来有望在全球范围内推广使用，为解决城市交通拥堵问题提供新的解决方案。
总的来说，谷歌推出的这项“交通疏导”AI模型，无疑为解决城市交通拥堵问题提供了新的思路和技术支持，也为全球范围内的城市交通规划和管理提供了重要的参考价值。
英语如下：
News Title: “Google AI Helps Traffic Flow at Seattle Event, Efficiency Increases by 30%, Congestion Time Shortens by 7 Minutes!”
Keywords: Google, Traffic Management, AI Model
News Content:
Google’s Research Institute recently released an article sharing their development of an artificial intelligence (AI) model that effectively addresses urban traffic congestion issues. According to reports, this model was practically applied during a large-scale event in Seattle in August and November 2023, achieving significant results.
It is understood that Google collaborated with the Seattle Traffic Department to apply the AI model named “Traffic Management” to traffic management during the large-scale event. By combining it with the use of “Dynamic Guidance Display,” the model successfully shortened average congestion time by 7 minutes, improving traffic efficiency by 30%.
Researchers at Google stated that they used an open-source simulation software SUMO (Simulation of Urban Mobility), which can help predict and optimize urban traffic flow. Their AI model was developed on this basis, analyzing large amounts of real-time data, allowing it to automatically adjust signal light intervals in case of traffic congestion, thereby relieving traffic pressure.
Moreover, the model also has good scalability, adapting to different city traffic situations and being customizable according to needs. Therefore, there is potential for its global promotion in the future, providing new solutions to solve urban traffic congestion problems.
Overall, Google’s launch of the “Traffic Management” AI model undoubtedly provides new ideas and technical support for solving urban traffic congestion problems, and also provides important reference values for global urban traffic planning and management.
【来源】https://www.ithome.com/0/741/509.htm
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