Extracting Principal Fairways of Ship Passages Through a Strait from AIS Data
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- 英文论文题名：Extracting Principal Fairways of Ship Passages Through a Strait from AIS Data
- 论文作者：CHEN Jinhai ; LU Feng ; PENG Guojun
- 英文论文作者：CHEN Jinhai ; LU Feng ; PENG Guojun ; LERIS ; Institute of Geographic Sciences and Natural Resources Research ; CAS ; Marine Navigation & Pilot Technology Research Centre ; Jimei University
- 年：2015
- 作者机构：LERIS,Institute of Geographic Sciences and Natural Resources Research,CAS;Marine Navigation & Pilot Technology Research Centre,Jimei University;
- 英文论文关键词：statistical inference ; principal fairways ; ship trajectories ; ship routing ; path planning
- 会议召开时间：2015-09-01
- 会议录名称：中国航海科技优秀论文集（2014）
- 语种：英文
- 分类号：U675.7
- 学会代码：PJJY
- 学会名称：上海浦江教育出版社有限公司
- 页数：21
- 文件大小：2000k
- 原文格式：O
摘要
It is necessary to design routing measures to minimize the possibility of collisions in congested straits.Only a few straits in the world have estab-lished an official ship routing system.There are large development spaces to discuss ways to rationalize ship traffic flows.One prerequisite of any routing measure is to understand principal fairways.There are few algorithms to quantify the size and usage of principal fairways to objectively delineate intensely used waterway areas.This paper integrates mathematical statistics,geographic information science theories and maritime transport engineering disciplines.A two-step methodology was proposed.Firstly,noisy data of poor economic voyages were removed.Secondly,principal fairways were inferred from historical shorebased Automatic Identification System data.Tracking of ships in the straits was performed using statistical probability.We focus on a statistical inference approach to understand seasonal and directional variations in principal fairways in the western Taiwan Strait and its adjacent sea.Finally,we review the Taiwan Strait and offer descriptive statistics and visualizations for an optimized routing system plan for maritime traffic administrators.Adopting our approach will greatly improve the capacity to understand and compare spatial dynamics of seasonal and direc-tional factors for principal fairways in straits.
It is necessary to design routing measures to minimize the possibility of collisions in congested straits.Only a few straits in the world have estab-lished an official ship routing system.There are large development spaces to discuss ways to rationalize ship traffic flows.One prerequisite of any routing measure is to understand principal fairways.There are few algorithms to quantify the size and usage of principal fairways to objectively delineate intensely used waterway areas.This paper integrates mathematical statistics,geographic information science theories and maritime transport engineering disciplines.A two-step methodology was proposed.Firstly,noisy data of poor economic voyages were removed.Secondly,principal fairways were inferred from historical shorebased Automatic Identification System data.Tracking of ships in the straits was performed using statistical probability.We focus on a statistical inference approach to understand seasonal and directional variations in principal fairways in the western Taiwan Strait and its adjacent sea.Finally,we review the Taiwan Strait and offer descriptive statistics and visualizations for an optimized routing system plan for maritime traffic administrators.Adopting our approach will greatly improve the capacity to understand and compare spatial dynamics of seasonal and direc-tional factors for principal fairways in straits.
It is necessary to design routing measures to minimize the possibility of collisions in congested straits.Only a few straits in the world have estab-lished an official ship routing system.There are large development spaces to discuss ways to rationalize ship traffic flows.One prerequisite of any routing measure is to understand principal fairways.There are few algorithms to quantify the size and usage of principal fairways to objectively delineate intensely used waterway areas.This paper integrates mathematical statistics,geographic information science theories and maritime transport engineering disciplines.A two-step methodology was proposed.Firstly,noisy data of poor economic voyages were removed.Secondly,principal fairways were inferred from historical shorebased Automatic Identification System data.Tracking of ships in the straits was performed using statistical probability.We focus on a statistical inference approach to understand seasonal and directional variations in principal fairways in the western Taiwan Strait and its adjacent sea.Finally,we review the Taiwan Strait and offer descriptive statistics and visualizations for an optimized routing system plan for maritime traffic administrators.Adopting our approach will greatly improve the capacity to understand and compare spatial dynamics of seasonal and direc-tional factors for principal fairways in straits.
引文
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[5]IMO.MSC/Circ.1060:Guidance Note on the Preparation of Proposals on Ships'Routeing Systems and Ship Reporting Systems IMO.2003.
[6]Inoue K..Evaluation Method of Ship-handling Difficulty for Navigation in Restricted and Congested Waterways[J].Journal of Navigation,2000,53:167-180.
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[9]Jinhai C.,Feng L.,Guojun P.,et al.Study on Vessel Trajectories Database Manage System Based on Geodatabase[J].Journal of Geo-information Science,2012,15(6):728-735
[10]Johnson D.R..Traffic in the English Channel and Dover Strait;I.Traffic Surveys[J].Journal of Navigation,1973,26(1):75-92.
[11]Martin Gamborg Hansen,Toke K.J.,Tue Lehn-Schi01er,et al.Empirical Ship Domain based on AIS Data.Journal of Navigation,2013.
[12]Masaki K.,Takahiko F.,Masaaki I..Route Extraction Using AIS Data and Image Processing[J].Japan Institute of Navigation,2010,(122):79-84.
[13]Mou J.M.,van der Tak C.,Ligteringen H..Study on collision avoidance in busy waterways by using AIS data[J].Ocean Engineering,2010,37(5-6):483-490.
[14]Pallotta G.,Vespe M,Bryan K..Vessel Pattern Knowledge Discovery from AIS Data:A Framework for Anomaly Detection and Route Prediction[J].Entropy,2013,15(6):2218-2245.
[15]Pante E.,Simon-Bouhet B..marmap:A Package for Importing,Plotting and Analyzing Bathymetric and Topographic Data in R PLoS ONE,2013.
[16]Silveira P.A.M.,Teixeira A.P.,Soares C.G Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal[J].Journal of Navigation,2013,66:879-898.
[17]Squire D..The Hazards of Navigating The Dover Strait(Pas-de-Calais)Traffic Separation Scheme[J].Journal of Navigation,2003,56(2):195-210.
[18]Suman S.,Nagarajan V.,Sha O.P.,et al.Ship Collision Risk Assessment Using AIS Data.International Journal of Innovative Research&Development.2012(10).
[19]Szlapczynski R..Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes[J].Journal of Navigation,2013,66(1):65-81.
[20]UKHO.List of traffic separation schemes shown on Admiralty Charts.2012.
[21]UN.Part III Straits Used For International Navigation,United Nations Convention on the Law of the Sea 1982.
[22]Vander Wal E.,Rodgers A R..An individual-based quantitative approach for delineating core areas of animal space use[J].Ecological Modelling,2012,224(1):48-53.
[23]Wang N..A Novel Analytical Framework for Dynamic Quaternion Ship Domains[J].Journal of Navigation,2013,66(2):265-281.
[24]Y.C.Seong,J.S.J.G.K.P..The Relation with Width of Fairway and Marine Traffic Flow[J].International Journal on Marine Navigation and Safety of Sea Transportation,2012,6(3):317-321.
[2]Aydogdu Y.V.,Yurtoren C.,Park J.S.,et al.A Study on Local Traffic Management to Improve Marine Traffic Safety in the Istanbul Strait[J].Journal of Navigation,2012,65(1):99-112.
[3]Chen C.-W.,Lee C.-C.,Chen C.-H.,et al.The integration of nautical hazard assessment and harbor GIS models to the Taichung Port area in Taiwan[J].Natural Hazards,2013,67(2):275-294.
[4]Guillarme N.L.,Lerouvreur X..Unsupervised Extraction of Knowledge from S-AIS Data for Maritime Situational Awareness,16th International Conference on Information Fusion Istanbul,2013:2025-2032.
[5]IMO.MSC/Circ.1060:Guidance Note on the Preparation of Proposals on Ships'Routeing Systems and Ship Reporting Systems IMO.2003.
[6]Inoue K..Evaluation Method of Ship-handling Difficulty for Navigation in Restricted and Congested Waterways[J].Journal of Navigation,2000,53:167-180.
[7]Jensen T K.,Hansen M G.,Lehn-Schioler T,et al.Free Flow-Efficiency of a One-way Traffic Lane between two Pylons[J].Journal of Navigation,2013,66(6):941-951.
[8]Jinhai C.,Feng L.,Guojun P.2014,Analysis on the Spatial Distribution Characteristics of Maritime traffic profile in Western Taiwan Strait[J].IOP Conference Series:Earth and Environmental Science,2014,18(1):012111.
[9]Jinhai C.,Feng L.,Guojun P.,et al.Study on Vessel Trajectories Database Manage System Based on Geodatabase[J].Journal of Geo-information Science,2012,15(6):728-735
[10]Johnson D.R..Traffic in the English Channel and Dover Strait;I.Traffic Surveys[J].Journal of Navigation,1973,26(1):75-92.
[11]Martin Gamborg Hansen,Toke K.J.,Tue Lehn-Schi01er,et al.Empirical Ship Domain based on AIS Data.Journal of Navigation,2013.
[12]Masaki K.,Takahiko F.,Masaaki I..Route Extraction Using AIS Data and Image Processing[J].Japan Institute of Navigation,2010,(122):79-84.
[13]Mou J.M.,van der Tak C.,Ligteringen H..Study on collision avoidance in busy waterways by using AIS data[J].Ocean Engineering,2010,37(5-6):483-490.
[14]Pallotta G.,Vespe M,Bryan K..Vessel Pattern Knowledge Discovery from AIS Data:A Framework for Anomaly Detection and Route Prediction[J].Entropy,2013,15(6):2218-2245.
[15]Pante E.,Simon-Bouhet B..marmap:A Package for Importing,Plotting and Analyzing Bathymetric and Topographic Data in R PLoS ONE,2013.
[16]Silveira P.A.M.,Teixeira A.P.,Soares C.G Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal[J].Journal of Navigation,2013,66:879-898.
[17]Squire D..The Hazards of Navigating The Dover Strait(Pas-de-Calais)Traffic Separation Scheme[J].Journal of Navigation,2003,56(2):195-210.
[18]Suman S.,Nagarajan V.,Sha O.P.,et al.Ship Collision Risk Assessment Using AIS Data.International Journal of Innovative Research&Development.2012(10).
[19]Szlapczynski R..Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes[J].Journal of Navigation,2013,66(1):65-81.
[20]UKHO.List of traffic separation schemes shown on Admiralty Charts.2012.
[21]UN.Part III Straits Used For International Navigation,United Nations Convention on the Law of the Sea 1982.
[22]Vander Wal E.,Rodgers A R..An individual-based quantitative approach for delineating core areas of animal space use[J].Ecological Modelling,2012,224(1):48-53.
[23]Wang N..A Novel Analytical Framework for Dynamic Quaternion Ship Domains[J].Journal of Navigation,2013,66(2):265-281.
[24]Y.C.Seong,J.S.J.G.K.P..The Relation with Width of Fairway and Marine Traffic Flow[J].International Journal on Marine Navigation and Safety of Sea Transportation,2012,6(3):317-321.