Robotics & Machine Learning Daily News2024,Issue(Nov.22) :23-24.

Zhejiang University of Water Resources and Electric Power Researcher Releases Ne w Study Findings on Machine Learning (Driving Safety and Comfort Enhancement in Urban Underground Interchanges via Driving Simulation and Machine Learning)

浙江水利电力大学研究员发布新的机器学习研究成果(通过驾驶模拟和机器学习提高城市地下互通式立交桥的驾驶安全性和舒适性)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :23-24.

Zhejiang University of Water Resources and Electric Power Researcher Releases Ne w Study Findings on Machine Learning (Driving Safety and Comfort Enhancement in Urban Underground Interchanges via Driving Simulation and Machine Learning)

浙江水利电力大学研究员发布新的机器学习研究成果(通过驾驶模拟和机器学习提高城市地下互通式立交桥的驾驶安全性和舒适性)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的新研究成果已经发表。据新闻报道该研究源于中华人民共和国杭州,由NewsRx编辑撰写,该研究称:“城市和城市”交通系统,特别是地下交汇处,对可持续发展提出了重大挑战由于其复杂的道路几何形状和密集的交通标志,因此具有弹性的城市设计。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsoriginating from Hangzhou, People’ s Republic of China, by NewsRx editors, the research stated, “Urbantransportati on systems, particularly underground interchanges, present significant challenge s for sustainableand resilient urban design due to their complex road geometrie s and dense traffic signage.”

Key words

Zhejiang University of Water Resources a nd Electric Power/Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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