近日，谷歌研究院公布了一项利用开源模拟软件SUMO（Simulation of Urban Mobility）研发的“交通疏导”AI模型应用成果。该模型在美国西雅图交通部的支持下，在2023年8月和11月的大型活动中得到实际应用。通过配合“动态引导显示屏（Dynamic Message Signs）”，该AI模型成功平均缩短了7分钟的拥堵时间，提升了30%的交通效率。
谷歌研究人员利用AI技术，针对城市交通拥堵问题提出了创新性的解决方案。这一成果凸显了人工智能在优化交通管理方面的巨大潜力。在未来的城市规划中，AI技术有望发挥更加重要的作用，为缓解交通拥堵、提高道路通行效率提供有力支持。
英文翻译：
News Title: Google AI helps traffic congestion reduction, averaging 7 minutes shorter
Keywords: Google, AI, traffic congestion
News Content:
Recently, Google Research Institute announced the application results of an AI model for “traffic congestion” developed using open-source simulation software SUMO (Simulation of Urban Mobility). With the support of the Seattle Traffic Department in the United States, the model was applied in large-scale events in August and November 2023. Through the cooperation of “dynamic guidance displays (Dynamic Message Signs),” the AI model successfully reduced traffic congestion by an average of 7 minutes and increased traffic efficiency by 30%.
Google researchers have proposed innovative solutions to address traffic congestion issues using AI technology. This achievement highlights the immense potential of artificial intelligence in optimizing traffic management. In future urban planning, AI technology is expected to play a more significant role in alleviating traffic congestion and improving road通行效率。
【来源】https://www.ithome.com/0/741/509.htm
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