据IT之家报道，谷歌研究院近期公布了一项“交通疏导”AI模型的研究成果。该模型利用开源模拟软件SUMO（Simulation of Urban Mobility）打造，平均可缩短7分钟拥堵时间，提升30%的交通效率。
研究人员介绍，该AI模型已在去年8月及11月，与美国西雅图交通部合作，在多项大型活动中得到实际应用。配合“动态引导显示屏（Dynamic Message Signs）”，该模型成功平均缩短了7分钟的拥堵时间，并使交通效率提升了30%。
这项研究成果的应用，为困扰许多城市的交通拥堵问题提供了新的解决方案。未来，随着AI技术的进一步发展，我们有理由期待更加智能、高效的交通运输系统的出现。
Title: Google AI Helps Seattle Traffic Speed Up
Keywords: Google AI, Traffic Congestion, Seattle
News content:
According to IT Home, Google Research recently released the research results of a “traffic congestion” AI model. The model, built using the open-source simulation software SUMO (Simulation of Urban Mobility), can average a 7-minute reduction in traffic congestion time and a 30% increase in traffic efficiency.
Researchers introduce that the AI model was actually applied in various large-scale activities in August and November of last year, in collaboration with the Seattle Department of Transportation. With the help of “dynamic guidance displays (Dynamic Message Signs)”, the model successfully reduced traffic congestion time by an average of 7 minutes and increased traffic efficiency by 30%.
The application of this research result provides a new solution to the traffic congestion problem that plagues many cities. In the future, with the further development of AI technology, we have reason to expect the emergence of a more intelligent and efficient transportation system.
【来源】https://www.ithome.com/0/741/509.htm
Views: 0