Robotics & Machine Learning Daily News2024,Issue(Jul.22) :53-54.

New Intelligent Transport Systems Study Findings Recently Were Reported by Resea rchers at Zhejiang Normal University (Navigating the Complexity of Tram Ride Com fort Assessment In Growing Urban Environments: a Cloud Theory Perspective)

Robotics & Machine Learning Daily News2024,Issue(Jul.22) :53-54.

New Intelligent Transport Systems Study Findings Recently Were Reported by Resea rchers at Zhejiang Normal University (Navigating the Complexity of Tram Ride Com fort Assessment In Growing Urban Environments: a Cloud Theory Perspective)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Transportation - Intelli gent Transport Systems have been published.According to news reporting from Jin hua, People’s Republic of China, by NewsRx journalists, researchstated, “This s tudy addresses the challenge of quantitatively assessing ride comfort in tram tr avel inGrowing Urban Environments, where multiple influencing factors complicat e developing a unified evaluationindex system. A comprehensive evaluation frame work based on cloud theory is proposed to overcome thischallenge.”

Key words

Jinhua/People’s Republic of China/Asia/Intelligent Transport Systems/Transportation/Zhejiang Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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