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

Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung Jung, William F. Northrop, Shashi Shekhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2023 SIAM International Conference on Data Mining, SDM 2023
PublisherSociety for Industrial and Applied Mathematics Publications
Pages953-956
Number of pages4
ISBN (Electronic)9781611977653
StatePublished - 2023
Event2023 SIAM International Conference on Data Mining, SDM 2023 - Minneapolis, United States
Duration: Apr 27 2023Apr 29 2023

Publication series

Name2023 SIAM International Conference on Data Mining, SDM 2023

Conference

Conference2023 SIAM International Conference on Data Mining, SDM 2023
Country/TerritoryUnited States
CityMinneapolis
Period4/27/234/29/23

Bibliographical note

Publisher Copyright:
Copyright © 2023 by SIAM.

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