AI-driven method to reduce traffic delays and improve road safety

Dr. Abolfazl Karimpour, Aide Teacher of Transport Design at SUNY Poly, has actually created a cutting-edge structure that approximates the size and period of web traffic lines up and hold-ups brought on by accidents, without depending on physical roadside sensing units. Dr. Karimpour is lead writer of the brand-new post released in Situation Researches on Transportation Plan.

发布者:Dr.Durant,转转请注明出处:https://robotalks.cn/ai-driven-method-to-reduce-traffic-delays-and-improve-road-safety/

(0)
上一篇 17 8 月, 2025
下一篇 17 8 月, 2025

相关推荐

发表回复

您的邮箱地址不会被公开。 必填项已用 * 标注

联系我们

400-800-8888

在线咨询: QQ交谈

邮件:admin@example.com

工作时间:周一至周五,9:30-18:30,节假日休息

关注微信
社群的价值在于通过分享与互动,让想法产生更多想法,创新激发更多创新。