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

Daphne Tuncer; Oytun Babacan; Raoul Guiazon; Halima Abu  Ali; Josephine Conway; Sebastian  Kern; Ana Teresa Moreno; Max Peel; Arthur Pereira; Nadia Assad; Giulia Franceschini; Margrethe Gjerull; Anna Hardisty; Imran Marwa; Blanca Alvarez Lopez; Ariella Shalev; Christopher D'Cruz Tambua; Hapsari Damayanti; Paul Frapart; Sacha Lepoutre; Peer Nowack

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

Daphne Tuncer, Oytun Babacan, Raoul Guiazon, Halima Abu Ali, Josephine Conway, Sebastian Kern, Ana Teresa Moreno, Max Peel, Arthur Pereira, Nadia Assad, Giulia Franceschini, Margrethe Gjerull, Anna Hardisty, Imran Marwa, Blanca Alvarez Lopez, Ariella Shalev, Christopher D'Cruz Tambua, Hapsari Damayanti, Paul Frapart, Sacha LepoutrePeer Nowack

Research output: Working paper

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.

Original language	English
Place of Publication	online
Publisher	arXiv Computers and Society
Pages	1-49
Volume	NA
Publication status	Published - 15 Mar 2022

Keywords

Electric vehicle (EV)
Energy
Data Science
Mobility

Access to Document

https://arxiv.org/abs/2203.07789

Cite this

Tuncer, D., Babacan, O., Guiazon, R., Ali, H. A., Conway, J., Kern, S., Moreno, A. T., Peel, M., Pereira, A., Assad, N., Franceschini, G., Gjerull, M., Hardisty, A., Marwa, I., Lopez, B. A., Shalev, A., Tambua, C. DC., Damayanti, H., Frapart, P., ... Nowack, P. (2022). Engineering data-driven solutions for future mobility: perspectives and challenges. (pp. 1-49). arXiv Computers and Society. https://arxiv.org/abs/2203.07789

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title = "Engineering data-driven solutions for future mobility: perspectives and challenges",

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. ",

keywords = "Electric vehicle (EV), Energy, Data Science, Mobility",

author = "Daphne Tuncer and Oytun Babacan and Raoul Guiazon and Ali, {Halima Abu} and Josephine Conway and Sebastian Kern and Moreno, {Ana Teresa} and Max Peel and Arthur Pereira and Nadia Assad and Giulia Franceschini and Margrethe Gjerull and Anna Hardisty and Imran Marwa and Lopez, {Blanca Alvarez} and Ariella Shalev and Tambua, {Christopher D'Cruz} and Hapsari Damayanti and Paul Frapart and Sacha Lepoutre and Peer Nowack",

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Tuncer, D, Babacan, O, Guiazon, R, Ali, HA, Conway, J, Kern, S, Moreno, AT, Peel, M, Pereira, A, Assad, N, Franceschini, G, Gjerull, M, Hardisty, A, Marwa, I, Lopez, BA, Shalev, A, Tambua, CDC, Damayanti, H, Frapart, P, Lepoutre, S & Nowack, P 2022 'Engineering data-driven solutions for future mobility: perspectives and challenges' arXiv Computers and Society, online, pp. 1-49. <https://arxiv.org/abs/2203.07789>

TY - UNPB

T1 - Engineering data-driven solutions for future mobility: perspectives and challenges

AU - Tuncer, Daphne

AU - Babacan, Oytun

AU - Guiazon, Raoul

AU - Ali, Halima Abu

AU - Conway, Josephine

AU - Kern, Sebastian

AU - Moreno, Ana Teresa

AU - Peel, Max

AU - Pereira, Arthur

AU - Assad, Nadia

AU - Franceschini, Giulia

AU - Gjerull, Margrethe

AU - Hardisty, Anna

AU - Marwa, Imran

AU - Lopez, Blanca Alvarez

AU - Shalev, Ariella

AU - Tambua, Christopher D'Cruz

AU - Damayanti, Hapsari

AU - Frapart, Paul

AU - Lepoutre, Sacha

AU - Nowack, Peer

PY - 2022/3/15

Y1 - 2022/3/15

N2 - 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.

AB - 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.

KW - Electric vehicle (EV)

KW - Energy

KW - Data Science

KW - Mobility

UR - https://arxiv.org/abs/2203.07789

M3 - Working paper

VL - NA

SP - 1

EP - 49

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

PB - arXiv Computers and Society

CY - online

ER -

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

Abstract

Keywords

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