Engineering data-driven solutions for future mobility: perspectives and challenges

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 (2022) Engineering data-driven solutions for future mobility: perspectives and challenges. pp. 1-49.

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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
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 17 Mar 2022 15:30
Last Modified: 20 Mar 2022 07:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/84101
DOI: https://arxiv.org/abs/2203.07789

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