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Toward Digitalization of Maritime Transport?

Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data...

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Autores principales: Sanchez-Gonzalez, Pedro-Luis, Díaz-Gutiérrez, David, Leo, Teresa J., Núñez-Rivas, Luis R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413017/
https://www.ncbi.nlm.nih.gov/pubmed/30813277
http://dx.doi.org/10.3390/s19040926
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author Sanchez-Gonzalez, Pedro-Luis
Díaz-Gutiérrez, David
Leo, Teresa J.
Núñez-Rivas, Luis R.
author_facet Sanchez-Gonzalez, Pedro-Luis
Díaz-Gutiérrez, David
Leo, Teresa J.
Núñez-Rivas, Luis R.
author_sort Sanchez-Gonzalez, Pedro-Luis
collection PubMed
description Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries.
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spelling pubmed-64130172019-04-03 Toward Digitalization of Maritime Transport? Sanchez-Gonzalez, Pedro-Luis Díaz-Gutiérrez, David Leo, Teresa J. Núñez-Rivas, Luis R. Sensors (Basel) Review Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries. MDPI 2019-02-22 /pmc/articles/PMC6413017/ /pubmed/30813277 http://dx.doi.org/10.3390/s19040926 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sanchez-Gonzalez, Pedro-Luis
Díaz-Gutiérrez, David
Leo, Teresa J.
Núñez-Rivas, Luis R.
Toward Digitalization of Maritime Transport?
title Toward Digitalization of Maritime Transport?
title_full Toward Digitalization of Maritime Transport?
title_fullStr Toward Digitalization of Maritime Transport?
title_full_unstemmed Toward Digitalization of Maritime Transport?
title_short Toward Digitalization of Maritime Transport?
title_sort toward digitalization of maritime transport?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413017/
https://www.ncbi.nlm.nih.gov/pubmed/30813277
http://dx.doi.org/10.3390/s19040926
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