Robotics & Machine Learning Daily News2024,Issue(Jul.15) :55-56.

Data on Intelligent Vehicles Reported by Researchers at Shanghai Jiao Tong Unive rsity (Optimal Pricing and Scheduling of Seaportships Coordination System: a Ga me Theoretic Approach)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :55-56.

Data on Intelligent Vehicles Reported by Researchers at Shanghai Jiao Tong Unive rsity (Optimal Pricing and Scheduling of Seaportships Coordination System: a Ga me Theoretic Approach)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Transportat ion - Intelligent Vehicles. According to newsreporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Owingto extensive s eaport electrification and growing concerns about maritime carbon emissions, eff icientcoordination of logistics services and energy services among the seaport authorities and the shipowners hasbecome crucial to maximize potential operatio nal flexibility and to improve energy efficiency. However,existing studies rely on centralized models and overlook the logistics characteristics in maritime mi crogrids,which yields impractical operation strategies.”

Key words

Shanghai/People’s Republic of China/As ia/Intelligent Vehicles/Transportation/Shanghai Jiao Tong 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