Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.

SDM(2023)

引用 0|浏览1
暂无评分
摘要
Society must achieve net zero carbon emissions to mitigate anthropogenic climate change and preserve a livable planet. Reducing transportation emissions is an important component to achieve net zero because such emissions account for a quarter of global carbon released into the environment. Driven by increasingly available transportation big data and enhanced computational speed, data mining techniques have become powerful tools to achieve transportation decarbonization. This paper describes existing gaps in transportation decarbonization research where data mining can help address problems related to medium and heavy vehicle electrification, electric micromobility safety, and analysis of alternative fuel-powered and plug-in hybrid electric vehicles. Our recommendations encompass open research problems, opportunities for data mining applications, and examples of areas where advancements in data mining techniques are needed. We encourage the data mining community to explore these challenges and opportunities to help achieve net zero emissions goals.
更多
查看译文
关键词
net zero carbon emissions,data mining challenges,data mining
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要