Robotics & Machine Learning Daily News2024,Issue(Jul.9) :75-76.

Findings from Zhejiang University of Technology Update Knowledge of Intelligent Vehicles (Multi-view Graph Convolution Network Reinforcement Learning for Cavs C ooperative Control In Highway Mixed Traffic)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :75-76.

Findings from Zhejiang University of Technology Update Knowledge of Intelligent Vehicles (Multi-view Graph Convolution Network Reinforcement Learning for Cavs C ooperative Control In Highway Mixed Traffic)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to newsoriginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Thecontrol of co nnected autonomous vehicles (CAVs) for cooperative sensing and driving in mixed trafficflows is critical for the development of intelligent transportation syst ems. However, the challenge lies ineffectively representing and learning from t he interactions between heterogeneous traffic agents, as wellas the complex tra ffic states they produce.”

Key words

Hangzhou/People’s Republic of China/As ia/Intelligent Vehicles/Transportation/Emerging Technologies/Machine Learnin g/Reinforcement Learning/Zhejiang Universityof Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文