Robotics & Machine Learning Daily News2024,Issue(Aug.30) :67-68.

Investigators at Tongji University Detail Findings in Intelligent Transport Syst ems (Comfortable Driving Control for Connected Automated Vehicles Based On Deep Reinforcement Learning and Knowledge Transfer)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :67-68.

Investigators at Tongji University Detail Findings in Intelligent Transport Syst ems (Comfortable Driving Control for Connected Automated Vehicles Based On Deep Reinforcement Learning and Knowledge Transfer)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Transportation - Intelligent Tra nsport Systems have been presented. Accordingto news reporting originating in S hanghai, People’s Republic of China, by NewsRx journalists, researchstated, “Wi th the development of connected automated vehicles (CAVs), preview and large-sca le roadprofile information detected by different vehicles become available for speed planning and active suspensioncontrol of CAVs to enhance ride comfort. Ex isting methods are not well adapted to rough pavementsof different districts, w here the distributions of road roughness are significantly different because of thetraffic volume, maintenance, weather, etc.”

Key words

Shanghai/People’s Republic of China/As ia/Intelligent Transport Systems/Transportation/Emerging Technologies/Machin e Learning/Reinforcement Learning/Tongji University

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