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TwinPort: 5G drone-assisted data collection with digital twin for smart seaports

Yigit, Yagmur; Nguyen, Long D.; Ozdem, Mehmet; Kinaci, Omer Kemal; Hoang, Trang; Canberk, Berk; Duong, Trung Q.

Authors

Yagmur Yigit

Long D. Nguyen

Mehmet Ozdem

Omer Kemal Kinaci

Trang Hoang

Trung Q. Duong



Abstract

Numerous ports worldwide are adopting automation to boost productivity and modernize their operations. At this point, smart ports become a more important paradigm for handling increasing cargo volumes and increasing operational efficiency. In fact, as ports become more congested and cargo volumes increase, the need for accurate navigation through seaports is more pronounced to avoid collisions and the resulting consequences. To this end, digital twin (DT) technology in the fifth-generation (5G) networks and drone-assisted data collection can be combined to provide precise ship maneuvering. In this paper, we propose a DT model using drone-assisted data collection architecture, called TwinPort, to offer a comprehensive port management system for smart seaports. We also present a recommendation engine to ensure accurate ship navigation within a smart port during the docking process. The experimental results reveal that our solution improves the trajectory performance by approaching the desired shortest path. Moreover, our solution supports significantly reducing financial costs and protecting the environment by reducing fuel consumption.

Citation

Yigit, Y., Nguyen, L. D., Ozdem, M., Kinaci, O. K., Hoang, T., Canberk, B., & Duong, T. Q. (2023). TwinPort: 5G drone-assisted data collection with digital twin for smart seaports. Scientific Reports, 13(1), Article 12310. https://doi.org/10.1038/s41598-023-39366-1

Journal Article Type Article
Acceptance Date Jul 24, 2023
Online Publication Date Jul 29, 2023
Publication Date 2023
Deposit Date Aug 7, 2023
Publicly Available Date Aug 7, 2023
Journal Scientific Reports
Electronic ISSN 2045-2322
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 13
Issue 1
Article Number 12310
DOI https://doi.org/10.1038/s41598-023-39366-1

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TwinPort: 5G drone-assisted data collection with digital twin for smart seaports (3 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.





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