美国城市使用人工智能更快地发现道路危害,改善安全和维护。 U.S. cities use AI to detect road hazards faster, improving safety and maintenance.

美国各地的城市和州正在利用人工智能来改善道路安全,方法是比传统方法更快地发现诸如坑洞、受损的护栏和衰减标志等危险。 Cities and states across the U.S. are using artificial intelligence to improve road safety by detecting hazards like potholes, damaged guardrails, and faded signs more quickly than traditional methods. 夏威夷正在向司机分发1000个AI动力破碎摄像头, 以实时识别道路问题, 而圣何塞则在街头清扫器上使用摄像头, 准确度达97%, Hawaii is distributing 1,000 AI-powered dashcams to drivers to identify road issues in real time, while San Jose uses cameras on street sweepers with 97% accuracy in spotting potholes. 得克萨斯州正在使用人工智能和匿名手机数据扫描庞大的公路网络,以查找过时的标志。 Texas is scanning vast road networks using AI and anonymized cellphone data to locate outdated signs. 基于马萨诸塞州的剑桥移动电信公司使用智能手机数据检测与基础设施缺陷相关的危险驾驶行为, Massachusetts-based Cambridge Mobile Telematics uses smartphone data to detect risky driving behaviors linked to infrastructure flaws, such as obscured stop signs. 在政府国际联盟的支持下,这些努力旨在从人工检查转向持续、以数据为驱动的维护,为未来的自主车辆准备基础设施。 These efforts, supported by the GovAI Coalition, aim to shift from manual inspections to continuous, data-driven maintenance, preparing infrastructure for future autonomous vehicles.