【新华社报道】在最新的交通科技应用研究中，谷歌研究院成功运用人工智能（AI）模型为城市交通拥堵问题提供解决方案。与美国的西雅图交通部门合作，谷歌研究人员通过开源模拟软件SUMO（Simulation of Urban Mobility）打造了一套高效的“交通疏导”AI模型。
在2023年8月及11月的多项大型活动中，该AI模型得到了实际应用。通过配合“动态引导显示屏（Dynamic Message Signs）”，该模型不仅平均缩短了7分钟的拥堵时间，更实现了30%的交通效率提升。
这一突破性的应用成果，展示了人工智能在现代城市管理中的巨大潜力。AI模型的介入，能够实时分析交通流量，动态调整信号灯配时，并为司机提供实时交通信息，有效引导车流，减少 wait时间，缓解了城市交通压力。
英文标题：Google AI Helps Ease Seattle Traffic, Boosting Efficiency
英文关键词：Google AI, Traffic Efficiency, Urban Mobility
英文新闻内容：
In the latest research on traffic technology applications, researchers from Google Research successfully applied an Artificial Intelligence (AI) model to address urban traffic congestion issues. In collaboration with the Seattle Department of Transportation in the United States, the Google researchers developed an efficient “traffic congestion relief” AI model using the open-source simulation software SUMO (Simulation of Urban Mobility).
The AI model was practically applied in multiple large-scale events in August and November 2023. By coordinating with “Dynamic Message Signs,” the model not only reduced average congestion time by 7 minutes but also increased traffic efficiency by 30%.
This groundbreaking application result demonstrates the tremendous potential of Artificial Intelligence in modern urban management. The intervention of the AI model can analyze traffic flow in real-time, dynamically adjust traffic signal timings, and provide drivers with real-time traffic information, effectively guiding vehicle flow, reducing wait times, and alleviating urban traffic pressures.
【来源】https://www.ithome.com/0/741/509.htm
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