Robotics & Machine Learning Daily News2024,Issue(Nov.1) :146-147.

Findings on Intelligent Transport Systems Reported by Investigators at Changsha University of Science and Technology (An Evaluation of Lane Management Strategy for Cav Priority In Mixed Traffic)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :146-147.

Findings on Intelligent Transport Systems Reported by Investigators at Changsha University of Science and Technology (An Evaluation of Lane Management Strategy for Cav Priority In Mixed Traffic)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Transportation - I ntelligent Transport Systems. According to news reporting out of Changsha, Peopl e’s Republic of China, by NewsRx editors, research stated, “The emergence of con nected autonomous vehicles (CAVs) has the potential to dramatically increase roa d capacity, and the provision of dedicated lanes for CAVs is a common management strategy to ensure that CAVs take appropriate priority over other vehicles. How ever, existing models of CAV lane management do not perform well at low CAV mark et penetration rates.”

Key words

Changsha/People’s Republic of China/As ia/Intelligent Transport Systems/Transportation/Changsha University of Scienc e and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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