Cargando…
Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review
The focus of this article is inland waterway transport. Different problems in this domain have been studied due to the increase in waterway traffic globally. Industry 4.0 technologies have become an alternative for the possible solution of these problems. For this reason, this paper aims to answer t...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147982/ https://www.ncbi.nlm.nih.gov/pubmed/35632117 http://dx.doi.org/10.3390/s22103708 |
_version_ | 1784716940986548224 |
---|---|
author | Restrepo-Arias, Juan Felipe Branch-Bedoya, John William Zapata-Cortes, Julian Andres Paipa-Sanabria, Edwin Giovanny Garnica-López, Miguel Andres |
author_facet | Restrepo-Arias, Juan Felipe Branch-Bedoya, John William Zapata-Cortes, Julian Andres Paipa-Sanabria, Edwin Giovanny Garnica-López, Miguel Andres |
author_sort | Restrepo-Arias, Juan Felipe |
collection | PubMed |
description | The focus of this article is inland waterway transport. Different problems in this domain have been studied due to the increase in waterway traffic globally. Industry 4.0 technologies have become an alternative for the possible solution of these problems. For this reason, this paper aims to answer the following research questions: (1) What are the main problems in transporting cargo by inland waterway? (2) What technological strategies are being studied to solve these problems? (3) What technologies from Industry 4.0 are used within the technological strategies to solve the exposed problems? This study adopts a Systematic Literature Review (SLR) approach. For this work, were recovered 645 articles, 88 of which were eligible, from which we could identify five domains corresponding to (1) traffic monitoring, (2) smart navigation, (3) emission reduction, (4) analytics with big data, and (5) cybersecurity. The strategies currently being considered combine navigation technologies, such as AIS (Automatic Identification System), which offers a large amount of data, with Industry 4.0 tools and mainly machine learning techniques, to take advantage of data collected over a long time. This study is, to our knowledge, one of the first to show how Industry 4.0 technologies are currently being used to tackle inland waterway transport problems and current application trends in the scientific community, which is a first step for the development of future studies and more advanced solutions. |
format | Online Article Text |
id | pubmed-9147982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91479822022-05-29 Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review Restrepo-Arias, Juan Felipe Branch-Bedoya, John William Zapata-Cortes, Julian Andres Paipa-Sanabria, Edwin Giovanny Garnica-López, Miguel Andres Sensors (Basel) Review The focus of this article is inland waterway transport. Different problems in this domain have been studied due to the increase in waterway traffic globally. Industry 4.0 technologies have become an alternative for the possible solution of these problems. For this reason, this paper aims to answer the following research questions: (1) What are the main problems in transporting cargo by inland waterway? (2) What technological strategies are being studied to solve these problems? (3) What technologies from Industry 4.0 are used within the technological strategies to solve the exposed problems? This study adopts a Systematic Literature Review (SLR) approach. For this work, were recovered 645 articles, 88 of which were eligible, from which we could identify five domains corresponding to (1) traffic monitoring, (2) smart navigation, (3) emission reduction, (4) analytics with big data, and (5) cybersecurity. The strategies currently being considered combine navigation technologies, such as AIS (Automatic Identification System), which offers a large amount of data, with Industry 4.0 tools and mainly machine learning techniques, to take advantage of data collected over a long time. This study is, to our knowledge, one of the first to show how Industry 4.0 technologies are currently being used to tackle inland waterway transport problems and current application trends in the scientific community, which is a first step for the development of future studies and more advanced solutions. MDPI 2022-05-12 /pmc/articles/PMC9147982/ /pubmed/35632117 http://dx.doi.org/10.3390/s22103708 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Restrepo-Arias, Juan Felipe Branch-Bedoya, John William Zapata-Cortes, Julian Andres Paipa-Sanabria, Edwin Giovanny Garnica-López, Miguel Andres Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title | Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title_full | Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title_fullStr | Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title_full_unstemmed | Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title_short | Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review |
title_sort | industry 4.0 technologies applied to inland waterway transport: systematic literature review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147982/ https://www.ncbi.nlm.nih.gov/pubmed/35632117 http://dx.doi.org/10.3390/s22103708 |
work_keys_str_mv | AT restrepoariasjuanfelipe industry40technologiesappliedtoinlandwaterwaytransportsystematicliteraturereview AT branchbedoyajohnwilliam industry40technologiesappliedtoinlandwaterwaytransportsystematicliteraturereview AT zapatacortesjulianandres industry40technologiesappliedtoinlandwaterwaytransportsystematicliteraturereview AT paipasanabriaedwingiovanny industry40technologiesappliedtoinlandwaterwaytransportsystematicliteraturereview AT garnicalopezmiguelandres industry40technologiesappliedtoinlandwaterwaytransportsystematicliteraturereview |