Cited by 20Digitalization, Law, and RegulationPrivacy, Security, and Data ProtectionPrivacy-Preserving Technologies in Data

The Interface of Privacy and Data Security in Automated City Shuttles: The GDPR Analysis

Open access
Benyahya, Meriem, Kechagia, Sotiria, Collen, Anastasija, Nijdam, Niels Alexander·2022·Applied Sciences

Abstract

The fast evolution and prevalence of driverless technologies has facilitated the testing and deployment of automated city shuttles (ACSs) as a means of public transportation in smart cities. For their efficient functioning, ACSs require a real-time data compilation and exchange of information with their internal components and external environment. However, that nexus of data exchange comes with privacy concerns and data protection challenges. In particular, the technical realization of stringent data protection laws on data collection and processing are key issues to be tackled within the ACSs ecosystem. Our work provides an in-depth analysis of the GDPR requirements that should be considered by the ACSs’ stakeholders during the collection, storage, use, and transmission of data to and from the vehicles. First, an analysis is performed on the data processing principles, the rights of data subjects, and the subsequent obligations for the data controllers where we highlight the mixed roles that can be assigned to the ACSs stakeholders. Secondly, the compatibility of privacy laws with security technologies focusing on the gap between the legal definitions and the technological implementation of privacy-preserving techniques are discussed. In face of the GDPR pitfalls, our work recommends a further strengthening of the data protection law. The interdisciplinary approach will ensure that the overlapping stakeholder roles and the blurring implementation of data privacy-preserving techniques within the ACSs landscape are efficiently addressed.

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Crossref · 10.3390/app12094413

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Authors
Benyahya, M., Kechagia, S., Collen, A., & Nijdam, N. A.
Affiliations
  • University of Geneva (CH)
  • École Polytechnique Fédérale de Lausanne (CH)
Corresponding author
Benyahya, Meriem
Venue
Applied Sciences
Publisher
MDPI AG
Published
2022-04-27
Volume
12
Issue
9
Pages
4413
ISSN
2076-3417 (ISSN-L)
OpenAlex
W4224985615
Cited by
20
References
41
Citations by year
2026: 2 · 2025: 7 · 2024: 6 · 2023: 5
FWCI
27.80
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders
European Union’s Horizon 2020 Research and Innovation Programme through AVENUE project (No. 769033, No. 833742, No. 875530)
Topics
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
autonomous vehicles, GDPR, data protection, privacy, smart cities, public transport, data processing principles, data subject rights, data controllers, privacy-preserving techniques, data security, stakeholder roles

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