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
U2 - https://arxiv.org/abs/2203.07789
DO - 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 -