Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities

Hyeonjung (Tari) Jung; Mingzhou Yang; Matthew Eagon; William Northrop

doi:10.1145/3557991.3567785

Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities

Hyeonjung (Tari) Jung, Mingzhou Yang, Matthew Eagon, William Northrop

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electric vehicles (EVs) have been identified as one of the necessary solutions to reduce the carbon footprint of transportation, a large source of greenhouse gas (GHG). As adoption of EVs and infrastructures to support them grow, formidable hurdles to achieving equitable economic growth and reliable transportation and energy system via effective management of EVs have been discovered. This opens major opportunities and challenges for spatial computing research. Equitable distribution of EV infrastructure in a broad region presents complicated spatial computing challenges with a great social impact. Spatial computing informed adoption and management of EVs will be essential to achieving the maximum carbon reduction through EVs along with a reliable transition to a renewable energy future. On the road, EV drivers may benefit from spatial computing to choose routes that take into account public fast-charging stations as well as energy needs of the route, such as speed, weather (e.g. air-conditioning, heating, and elevation changes). This paper presents open research questions of spatial computing related to EV management.

Original language	English (US)
Title of host publication	Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022
Editors	Andy Berres, Kuldeep Kurte, Haowen Xu
Publisher	Association for Computing Machinery, Inc
Pages	46-49
Number of pages	4
ISBN (Electronic)	9781450395397
DOIs	https://doi.org/10.1145/3557991.3567785
State	Published - Nov 1 2022
Event	15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022 - Seattle, United States Duration: Nov 1 2022 → …

Publication series

Name	Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022

Conference

Conference	15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022
Country/Territory	United States
City	Seattle
Period	11/1/22 → …

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation under Grants No. 1901099, the USDOE Advanced Research Projects Agency-Energy ARPA-E under Award No. DEAR0000795. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. We also thank Kim Koffolt, the Spatial Computing Research Group, and the T. E. Murphy Engine Lab for valuable comments and refinements.

Publisher Copyright:
© 2022 ACM.

Keywords

charger placement
climate change
electric vehicles
grid reliability
range prediction
renewable energy
transportation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1145/3557991.3567785

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Cite this

Jung, H., Yang, M., Eagon, M., & Northrop, W. (2022). Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities. In A. Berres, K. Kurte, & H. Xu (Eds.), Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022 (pp. 46-49). (Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3557991.3567785

Revolutionizing Electric Vehicle Management : Spatial Computing Challenges and Opportunities. / Jung, Hyeonjung (Tari); Yang, Mingzhou; Eagon, Matthew et al.

Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022. ed. / Andy Berres; Kuldeep Kurte; Haowen Xu. Association for Computing Machinery, Inc, 2022. p. 46-49 (Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jung, H, Yang, M, Eagon, M & Northrop, W 2022, Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities. in A Berres, K Kurte & H Xu (eds), Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022. Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022, Association for Computing Machinery, Inc, pp. 46-49, 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022, Seattle, United States, 11/1/22. https://doi.org/10.1145/3557991.3567785

Jung H, Yang M, Eagon M, Northrop W. Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities. In Berres A, Kurte K, Xu H, editors, Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022. Association for Computing Machinery, Inc. 2022. p. 46-49. (Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022). doi: 10.1145/3557991.3567785

Jung, Hyeonjung (Tari) ; Yang, Mingzhou ; Eagon, Matthew et al. / Revolutionizing Electric Vehicle Management : Spatial Computing Challenges and Opportunities. Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022. editor / Andy Berres ; Kuldeep Kurte ; Haowen Xu. Association for Computing Machinery, Inc, 2022. pp. 46-49 (Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022).

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Revolutionizing Electric Vehicle Management: Spatial Computing Challenges and Opportunities

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Publisher link

Find It

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Cite this