Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data

The ship's routing was adopted to organise marine traffic flow and reduce the risk of collision between ships in crowded waters. With the expansion of the world's fleet, ship traffic in shipping bottleneck and chokepoint areas became more and more busy and complex creating serious challeng...

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Detalles Bibliográficos
Autores: Feng, Hongxiang, Grifoll Colls, Manel|||0000-0003-4260-6732, Yang, Zhongzhen, Zheng, Pengjun
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/380402
Acceso en línea:https://hdl.handle.net/2117/380402
https://dx.doi.org/10.1016/j.ocecoaman.2022.106184
Access Level:acceso abierto
Palabra clave:Nautical instruments
Automatic identification system (AIS)
Ship collision risk assessment
Information entropy
K-means clustering
Ningbo-zhoushan port
Navegació--Aparells i instruments
Navegació--Accidents
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegació
Àrees temàtiques de la UPC::Nàutica::Seguretat marítima::Accidents marítims
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repository_id_str
spelling Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) dataFeng, HongxiangGrifoll Colls, Manel|||0000-0003-4260-6732Yang, ZhongzhenZheng, PengjunNautical instrumentsAutomatic identification system (AIS)Ship collision risk assessmentInformation entropyK-means clusteringNingbo-zhoushan portNavegació--Aparells i instrumentsNavegació--AccidentsÀrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegacióÀrees temàtiques de la UPC::Nàutica::Seguretat marítima::Accidents marítimsThe ship's routing was adopted to organise marine traffic flow and reduce the risk of collision between ships in crowded waters. With the expansion of the world's fleet, ship traffic in shipping bottleneck and chokepoint areas became more and more busy and complex creating serious challenges for navigational safety. Therefore, quantitative collision risk assessment is significantly important for the ships' routeing waters. In this paper, the information entropy method which integrates the K-means clustering based on Automatic Identification System (AIS) data is introduced to quantitatively evaluate the collision risks in the ships' routeing waters. As a case study, the information entropy of Courses Over Ground (COG) for Ningbo-Zhoushan Port (the largest port in the world since 2009) is calculated by using historical AIS data. Then the K-means clustering is used to group the bytes of information entropy of the different legs in the shipping route. We find that in Ningbo-Zhoushan port Precautionary Area (PA) 2, 4 and 7 are the highest risk legs; PA 1, 5 and 6, Traffic Separation Scheme (TSS) 16, and 17 are medium-high risk areas. Therefore, ship collision risk prevention measures should be prioritised in those legs. Our contributions provide a novel approach to quantitatively assess ship collision risks in busy waters.20222022-06-0120232023-01-13journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/380402https://dx.doi.org/10.1016/j.ocecoaman.2022.106184reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3804022026-05-27T15:37:01Z
dc.title.none.fl_str_mv Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
title Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
spellingShingle Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
Feng, Hongxiang
Nautical instruments
Automatic identification system (AIS)
Ship collision risk assessment
Information entropy
K-means clustering
Ningbo-zhoushan port
Navegació--Aparells i instruments
Navegació--Accidents
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegació
Àrees temàtiques de la UPC::Nàutica::Seguretat marítima::Accidents marítims
title_short Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
title_full Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
title_fullStr Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
title_full_unstemmed Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
title_sort Collision risk assessment for ships’ routeing waters: An information entropy approach with Automatic Identification System (AIS) data
dc.creator.none.fl_str_mv Feng, Hongxiang
Grifoll Colls, Manel|||0000-0003-4260-6732
Yang, Zhongzhen
Zheng, Pengjun
author Feng, Hongxiang
author_facet Feng, Hongxiang
Grifoll Colls, Manel|||0000-0003-4260-6732
Yang, Zhongzhen
Zheng, Pengjun
author_role author
author2 Grifoll Colls, Manel|||0000-0003-4260-6732
Yang, Zhongzhen
Zheng, Pengjun
author2_role author
author
author
dc.subject.none.fl_str_mv Nautical instruments
Automatic identification system (AIS)
Ship collision risk assessment
Information entropy
K-means clustering
Ningbo-zhoushan port
Navegació--Aparells i instruments
Navegació--Accidents
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegació
Àrees temàtiques de la UPC::Nàutica::Seguretat marítima::Accidents marítims
topic Nautical instruments
Automatic identification system (AIS)
Ship collision risk assessment
Information entropy
K-means clustering
Ningbo-zhoushan port
Navegació--Aparells i instruments
Navegació--Accidents
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegació
Àrees temàtiques de la UPC::Nàutica::Seguretat marítima::Accidents marítims
description The ship's routing was adopted to organise marine traffic flow and reduce the risk of collision between ships in crowded waters. With the expansion of the world's fleet, ship traffic in shipping bottleneck and chokepoint areas became more and more busy and complex creating serious challenges for navigational safety. Therefore, quantitative collision risk assessment is significantly important for the ships' routeing waters. In this paper, the information entropy method which integrates the K-means clustering based on Automatic Identification System (AIS) data is introduced to quantitatively evaluate the collision risks in the ships' routeing waters. As a case study, the information entropy of Courses Over Ground (COG) for Ningbo-Zhoushan Port (the largest port in the world since 2009) is calculated by using historical AIS data. Then the K-means clustering is used to group the bytes of information entropy of the different legs in the shipping route. We find that in Ningbo-Zhoushan port Precautionary Area (PA) 2, 4 and 7 are the highest risk legs; PA 1, 5 and 6, Traffic Separation Scheme (TSS) 16, and 17 are medium-high risk areas. Therefore, ship collision risk prevention measures should be prioritised in those legs. Our contributions provide a novel approach to quantitatively assess ship collision risks in busy waters.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-06-01
2023
2023-01-13
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/380402
https://dx.doi.org/10.1016/j.ocecoaman.2022.106184
url https://hdl.handle.net/2117/380402
https://dx.doi.org/10.1016/j.ocecoaman.2022.106184
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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