谷歌研究院近日公布了一项名为“交通疏导”的AI模型应用研究成果，该研究利用开源模拟软件SUMO打造，通过与美国西雅图交通部的合作，成功在2023年8月及11月的多项大型活动中实际应用。
据悉，这项AI模型能够实时分析交通流量，预测可能出现拥堵的路段，并通过动态引导显示屏向驾驶员提供最佳的行驶路线，从而有效缓解交通拥堵。实验结果显示，该AI模型的应用平均缩短了7分钟的拥堵时间，提升了30%的交通效率。
谷歌研究院的这一研究成果，不仅为解决城市交通拥堵问题提供了新的思路，也为AI技术在交通领域的实际应用开辟了新的道路。未来，随着AI技术的不断发展和完善，我们有理由相信，更多的城市将能够享受到AI带来的便捷和高效。
英语如下：
Title: Google AI Model Successfully Improves Traffic Efficiency by 30% and Shortens Congestion Time by 7 Minutes
Keywords: AI model, traffic efficiency, dynamic guidance display
Content: Google Research recently announced the results of an AI model application called “Traffic Relief,” which was developed using open-source simulation software SUMO and successfully applied in various large-scale events in August and November 2023 through cooperation with the Seattle Department of Transportation.
According to reports, this AI model can analyze real-time traffic flow, predict possible congested sections of the road, and provide drivers with the best driving routes through dynamic guidance displays, effectively alleviating traffic congestion. The experimental results show that the application of this AI model generally shortens congestion time by 7 minutes and improves traffic efficiency by 30%.
This research achievement by Google Research not only provides new ideas for solving urban traffic congestion problems but also opens up new roads for the practical application of AI technology in the field of transportation. In the future, with the continuous development and improvement of AI technology, we have reason to believe that more cities will be able to enjoy the convenience and efficiency brought by AI.
【来源】https://www.ithome.com/0/741/509.htm
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