首页|Investigators at Tsinghua University Report Findings in Intelligent Transport Sy stems (Electric-bus Charging Stations Multi-objective Optimization Planning On C oupled Power and Traffic Networks)
Investigators at Tsinghua University Report Findings in Intelligent Transport Sy stems (Electric-bus Charging Stations Multi-objective Optimization Planning On C oupled Power and Traffic Networks)
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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 from Guangdong, People ’s Republic of China, by NewsRx journalists, research stated, “The electrificati on of public transportation is one significant step towards the sustainability o f modern society.Both power networks and traffic networks are influenced by the optimal allocation of electric-bus (e-bus) charging stations.”Funders for this research include Tsinghua University Spring Breeze Fund, Tsingh ua University Fund, Science and Technology Innovation Committee of Shenzhen.
GuangdongPeople’s Republic of ChinaA siaIntelligent Transport SystemsTransportationTsinghua University
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