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。这一成果体现了人工智能在实际应用中的重要作用，也为我国解决交通拥堵问题提供了新的思路。未来，随着AI技术的不断发展，有望进一步优化城市交通管理，提高民众的出行效率。
Title: Google AI helps traffic congestion reduction
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 Transportation Department in the United States, the model was applied in large-scale events in August and November 2023. By collaborating with “Dynamic Message Signs,” the AI model successfully reduced traffic congestion by an average of 7 minutes and increased traffic efficiency by 30%.
Google researchers used AI technology to propose innovative solutions to urban traffic congestion, demonstrating the significant role of artificial intelligence in practical applications. This achievement also provides new ideas for solving traffic congestion problems in our country. As AI technology continues to develop, it is expected to further optimize urban traffic management and improve the efficiency of citizens’ travel.
【来源】https://www.ithome.com/0/741/509.htm
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