An Outlook on the Future Marine Traffic Management System for Autonomous Ships

In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensin...

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Autores principales:	Michele Martelli, Antonio Virdis, Alberto Gotta, Pietro Cassara, Maria Di Summa
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Autonomous navigation control guidance navigation vessel traffic system Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/234834dd6ae34c4784c1634225d8a00a
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spelling	oai:doaj.org-article:234834dd6ae34c4784c1634225d8a00a2021-12-03T00:00:28ZAn Outlook on the Future Marine Traffic Management System for Autonomous Ships2169-353610.1109/ACCESS.2021.3130741https://doaj.org/article/234834dd6ae34c4784c1634225d8a00a2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9627122/https://doaj.org/toc/2169-3536In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensing and analysis skills, situational awareness, planning, and control capabilities. Many efforts have been made in developing onboard systems; however, the shore facilities are not ready yet to deal with these new technologies. The paper aims to present the innovative technologies and methodologies needed to develop a futuristic Vessel Traffic System. The proposed systems will aim at faultless data acquisition and processing, provide input to decision-making systems, and suggest evasive manoeuvre; to deal with hazards and systems failure without human intervention onboard. The system is composed of three different and interacting layers. The first is an artificially intelligent tool to detect and control autonomous ships, thanks to situation recognition and obstacle avoidance strategies. The second is an orchestration and management platform designed to coordinate the sensing/actuation infrastructure and the AI algorithms’ results made available by multiple ships, mustering edge, and distributed computing techniques to fulfil the specific harsh requirements of the sea environment. The final part is a holistic guidance-navigation-control framework to manage autonomous ships’ navigation in a crowded area. Eventually, a cyber-physical scenario, using both a ship digital-twin and a real model-scale ship, is suggested to test and validate the innovative system without the availability of a full-scale scenario.Michele MartelliAntonio VirdisAlberto GottaPietro CassaraMaria Di SummaIEEEarticleAutonomous navigationcontrolguidancenavigationvessel traffic systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157316-157328 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Autonomous navigation control guidance navigation vessel traffic system Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Autonomous navigation control guidance navigation vessel traffic system Electrical engineering. Electronics. Nuclear engineering TK1-9971 Michele Martelli Antonio Virdis Alberto Gotta Pietro Cassara Maria Di Summa An Outlook on the Future Marine Traffic Management System for Autonomous Ships
description	In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensing and analysis skills, situational awareness, planning, and control capabilities. Many efforts have been made in developing onboard systems; however, the shore facilities are not ready yet to deal with these new technologies. The paper aims to present the innovative technologies and methodologies needed to develop a futuristic Vessel Traffic System. The proposed systems will aim at faultless data acquisition and processing, provide input to decision-making systems, and suggest evasive manoeuvre; to deal with hazards and systems failure without human intervention onboard. The system is composed of three different and interacting layers. The first is an artificially intelligent tool to detect and control autonomous ships, thanks to situation recognition and obstacle avoidance strategies. The second is an orchestration and management platform designed to coordinate the sensing/actuation infrastructure and the AI algorithms’ results made available by multiple ships, mustering edge, and distributed computing techniques to fulfil the specific harsh requirements of the sea environment. The final part is a holistic guidance-navigation-control framework to manage autonomous ships’ navigation in a crowded area. Eventually, a cyber-physical scenario, using both a ship digital-twin and a real model-scale ship, is suggested to test and validate the innovative system without the availability of a full-scale scenario.
format	article
author	Michele Martelli Antonio Virdis Alberto Gotta Pietro Cassara Maria Di Summa
author_facet	Michele Martelli Antonio Virdis Alberto Gotta Pietro Cassara Maria Di Summa
author_sort	Michele Martelli
title	An Outlook on the Future Marine Traffic Management System for Autonomous Ships
title_short	An Outlook on the Future Marine Traffic Management System for Autonomous Ships
title_full	An Outlook on the Future Marine Traffic Management System for Autonomous Ships
title_fullStr	An Outlook on the Future Marine Traffic Management System for Autonomous Ships
title_full_unstemmed	An Outlook on the Future Marine Traffic Management System for Autonomous Ships
title_sort	outlook on the future marine traffic management system for autonomous ships
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/234834dd6ae34c4784c1634225d8a00a
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An Outlook on the Future Marine Traffic Management System for Autonomous Ships

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