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Tuncer, Daphne, Babacan, Oytun, Guiazon, Raoul, Ali, Halima Abu, Conway, Josephine, Kern, Sebastian, Moreno, Ana Teresa, Peel, Max, Pereira, Arthur, Assad, Nadia, Franceschini, Giulia, Gjerull, Margrethe, Hardisty, Anna, Marwa, Imran, Lopez, Blanca Alvarez, Shalev, Ariella, Tambua, Christopher D'Cruz, Damayanti, Hapsari, Frapart, Paul, Lepoutre, Sacha and Nowack, Peer 
ORCID: https://orcid.org/0000-0003-4588-7832
(2022)
Engineering data-driven solutions for future mobility: perspectives and challenges.
pp. 1-49.
Abstract
The automotive industry is currently undergoing major changes. These include a general shift towards decarbonised mode of transportation, the implementation of mobility as an end-to-end service, and the transition to vehicles that increasingly rely on software and digital tools to function. Digitalisation is expected to play a key role in shaping the future of mobility ecosystems by fostering the integration of traditionally independent system domains in the energy, transportation and information sectors. This report discusses opportunities and challenges for engineering data-driven solutions that support the requirements of future digitalised mobility systems based on three use cases for electric vehicle public charging infrastructures, services and security.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | electric vehicle (ev),energy,data science,mobility |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences Faculty of Science > Research Groups > Climatic Research Unit |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 17 Mar 2022 15:30 |
| Last Modified: | 04 Mar 2024 16:28 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/84101 |
| DOI: |
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