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

TL;DR

This paper explores the opportunities and challenges of engineering data-driven solutions to support the digital transformation of future mobility systems, focusing on electric vehicle infrastructure, services, and security.

Contribution

It provides a comprehensive analysis of how data-driven approaches can address key requirements in future mobility, highlighting specific use cases in electric vehicle ecosystems.

Findings

Identifies key challenges in integrating data-driven solutions into mobility systems.

Proposes frameworks for electric vehicle charging infrastructure management.

Discusses security considerations for digitalized mobility services.

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.