Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Enna Hirata, Annette Skovsted Hansen

Open source

DOI: 10.3390/logistics8010023
Published: 02
Container: Logistics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/logistics8010023,
  title = {Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review},
  author = {Enna Hirata and Annette Skovsted Hansen},
  year = {2024},
  journal = {Logistics},
  doi = {10.3390/logistics8010023},
  url = {https://doi.org/10.3390/logistics8010023}
}

RIS

TY  - JOUR
TI  - Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review
AU  - Enna Hirata
AU  - Annette Skovsted Hansen
PY  - 2024
JO  - Logistics
DO  - 10.3390/logistics8010023
UR  - https://doi.org/10.3390/logistics8010023
ER  -

APA

Hirata, E., & Hansen, A. S. (2024). Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review. Logistics. https://doi.org/10.3390/logistics8010023

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doaj · retrieved 2026-09-25T16:22:15.428Z