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，对城市交通进行了深度分析和优化，打造出这个具备强大疏导能力的AI模型。在实际应用中，该模型通过动态调整道路通行策略，智能引导驾驶员避开拥堵路段，实现更为高效的交通流动。这一成果对未来城市交通管理具有重要的启示意义，有望缓解全球范围内的交通拥堵问题。
Title: Google AI-powered Traffic Management Model Successfully Reduces Congestion by 7 Minutes
Keywords: Google, AI, Traffic Management
News content:
Recently, Google Research Institute announced the application results of an AI-powered traffic management model 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 practically 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 conduct in-depth analysis and optimization of urban traffic, creating an AI model with strong traffic management capabilities. In practical applications, the model dynamically adjusted road traffic strategies and intelligently guided drivers to avoid congested roads, achieving more efficient traffic flow. This achievement has important implications for future urban traffic management and may help alleviate global traffic congestion.
【来源】https://www.ithome.com/0/741/509.htm
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