Maritime Traffic Analysis of the Strait of Istanbul based on AIS data
The Strait of Istanbul is one of the most congested and risky waterways in the world. Navigation patterns have been investigated using Automatic Indentification System (AIS) data collected over a long period. 1·5 billion AIS messages, gathered over a year from 309,000 moving vessels in the Strait we...
Gespeichert in:
Veröffentlicht in: | Journal of navigation 2017-11, Vol.70 (6), p.1367-1382 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1382 |
---|---|
container_issue | 6 |
container_start_page | 1367 |
container_title | Journal of navigation |
container_volume | 70 |
creator | Altan, Yigit C. Otay, Emre N. |
description | The Strait of Istanbul is one of the most congested and risky waterways in the world. Navigation patterns have been investigated using Automatic Indentification System (AIS) data collected over a long period. 1·5 billion AIS messages, gathered over a year from 309,000 moving vessels in the Strait were stored in a Structured Query Language (SQL) database. Grid-based analysis is used to track the time, number, position, type, dimension, heading, speed and course over ground of ships. Local traffic, whose effect on maritime risk has often been neglected, is found to dominate transit traffic by a ratio of eight to one. Vessel distributions indicate that the most common lengths of vessels are 100 m and 170 m. Draught analysis shows a net transfer of goods from north to south. Southbound vessels are more likely to exceed the enforced speed limit due to predominant currents. Courses indicate that the local traffic strongly affects navigation patterns, especially at sectors with sharp turns. All these results help to understand the navigation patterns of ships and give the necessary input to assist in predicting maritime risk. |
doi_str_mv | 10.1017/S0373463317000431 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1947583248</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0373463317000431</cupid><sourcerecordid>1947583248</sourcerecordid><originalsourceid>FETCH-LOGICAL-c317t-57f987cf33c6fe66f7ed5cbd0a077ea3c85780ae72134a26010c3dfd398e38283</originalsourceid><addsrcrecordid>eNp1kE9LAzEUxIMoWKsfwFvA82qyL7vJHkupWqh4aD0vb_NHU7a7NUkP_fbu0h4E8fR4zG-GYQi55-yRMy6f1gwkiBKAS8aYAH5BJlyUVSalKi7JZJSzUb8mNzFuB0YJVUzI4g2DT35n6Sagc17TWYftMfpIe0fTl6XrFNCn8VvGhF1zaGmD0Rrad3S2XFODCW_JlcM22rvznZKP58Vm_pqt3l-W89kq00OvlBXSVUpqB6BLZ8vSSWsK3RiGTEqLoFUhFUMrcw4C85JxpsE4A5WyoHIFU_Jwyt2H_vtgY6q3_SEMhWPNKyELBbkYKX6idOhjDNbV--B3GI41Z_W4Vv1nrcEDZw_umuDNp_0V_a_rBxzsadY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1947583248</pqid></control><display><type>article</type><title>Maritime Traffic Analysis of the Strait of Istanbul based on AIS data</title><source>Cambridge University Press Journals Complete</source><creator>Altan, Yigit C. ; Otay, Emre N.</creator><creatorcontrib>Altan, Yigit C. ; Otay, Emre N.</creatorcontrib><description>The Strait of Istanbul is one of the most congested and risky waterways in the world. Navigation patterns have been investigated using Automatic Indentification System (AIS) data collected over a long period. 1·5 billion AIS messages, gathered over a year from 309,000 moving vessels in the Strait were stored in a Structured Query Language (SQL) database. Grid-based analysis is used to track the time, number, position, type, dimension, heading, speed and course over ground of ships. Local traffic, whose effect on maritime risk has often been neglected, is found to dominate transit traffic by a ratio of eight to one. Vessel distributions indicate that the most common lengths of vessels are 100 m and 170 m. Draught analysis shows a net transfer of goods from north to south. Southbound vessels are more likely to exceed the enforced speed limit due to predominant currents. Courses indicate that the local traffic strongly affects navigation patterns, especially at sectors with sharp turns. All these results help to understand the navigation patterns of ships and give the necessary input to assist in predicting maritime risk.</description><identifier>ISSN: 0373-4633</identifier><identifier>EISSN: 1469-7785</identifier><identifier>DOI: 10.1017/S0373463317000431</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Analysis ; Civil engineering ; Frequencies ; Identification systems ; International conferences ; Messages ; Navigation ; Ocean engineering ; Oil spills ; Query languages ; Regulation ; Ships ; Straits ; Studies ; Tracking ; Traffic speed ; Vessels ; Waterways</subject><ispartof>Journal of navigation, 2017-11, Vol.70 (6), p.1367-1382</ispartof><rights>Copyright © The Royal Institute of Navigation 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-57f987cf33c6fe66f7ed5cbd0a077ea3c85780ae72134a26010c3dfd398e38283</citedby><cites>FETCH-LOGICAL-c317t-57f987cf33c6fe66f7ed5cbd0a077ea3c85780ae72134a26010c3dfd398e38283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0373463317000431/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27924,27925,55628</link.rule.ids></links><search><creatorcontrib>Altan, Yigit C.</creatorcontrib><creatorcontrib>Otay, Emre N.</creatorcontrib><title>Maritime Traffic Analysis of the Strait of Istanbul based on AIS data</title><title>Journal of navigation</title><addtitle>J. Navigation</addtitle><description>The Strait of Istanbul is one of the most congested and risky waterways in the world. Navigation patterns have been investigated using Automatic Indentification System (AIS) data collected over a long period. 1·5 billion AIS messages, gathered over a year from 309,000 moving vessels in the Strait were stored in a Structured Query Language (SQL) database. Grid-based analysis is used to track the time, number, position, type, dimension, heading, speed and course over ground of ships. Local traffic, whose effect on maritime risk has often been neglected, is found to dominate transit traffic by a ratio of eight to one. Vessel distributions indicate that the most common lengths of vessels are 100 m and 170 m. Draught analysis shows a net transfer of goods from north to south. Southbound vessels are more likely to exceed the enforced speed limit due to predominant currents. Courses indicate that the local traffic strongly affects navigation patterns, especially at sectors with sharp turns. All these results help to understand the navigation patterns of ships and give the necessary input to assist in predicting maritime risk.</description><subject>Analysis</subject><subject>Civil engineering</subject><subject>Frequencies</subject><subject>Identification systems</subject><subject>International conferences</subject><subject>Messages</subject><subject>Navigation</subject><subject>Ocean engineering</subject><subject>Oil spills</subject><subject>Query languages</subject><subject>Regulation</subject><subject>Ships</subject><subject>Straits</subject><subject>Studies</subject><subject>Tracking</subject><subject>Traffic speed</subject><subject>Vessels</subject><subject>Waterways</subject><issn>0373-4633</issn><issn>1469-7785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE9LAzEUxIMoWKsfwFvA82qyL7vJHkupWqh4aD0vb_NHU7a7NUkP_fbu0h4E8fR4zG-GYQi55-yRMy6f1gwkiBKAS8aYAH5BJlyUVSalKi7JZJSzUb8mNzFuB0YJVUzI4g2DT35n6Sagc17TWYftMfpIe0fTl6XrFNCn8VvGhF1zaGmD0Rrad3S2XFODCW_JlcM22rvznZKP58Vm_pqt3l-W89kq00OvlBXSVUpqB6BLZ8vSSWsK3RiGTEqLoFUhFUMrcw4C85JxpsE4A5WyoHIFU_Jwyt2H_vtgY6q3_SEMhWPNKyELBbkYKX6idOhjDNbV--B3GI41Z_W4Vv1nrcEDZw_umuDNp_0V_a_rBxzsadY</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Altan, Yigit C.</creator><creator>Otay, Emre N.</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7TN</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>201711</creationdate><title>Maritime Traffic Analysis of the Strait of Istanbul based on AIS data</title><author>Altan, Yigit C. ; Otay, Emre N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-57f987cf33c6fe66f7ed5cbd0a077ea3c85780ae72134a26010c3dfd398e38283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Civil engineering</topic><topic>Frequencies</topic><topic>Identification systems</topic><topic>International conferences</topic><topic>Messages</topic><topic>Navigation</topic><topic>Ocean engineering</topic><topic>Oil spills</topic><topic>Query languages</topic><topic>Regulation</topic><topic>Ships</topic><topic>Straits</topic><topic>Studies</topic><topic>Tracking</topic><topic>Traffic speed</topic><topic>Vessels</topic><topic>Waterways</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Altan, Yigit C.</creatorcontrib><creatorcontrib>Otay, Emre N.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of navigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Altan, Yigit C.</au><au>Otay, Emre N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Maritime Traffic Analysis of the Strait of Istanbul based on AIS data</atitle><jtitle>Journal of navigation</jtitle><addtitle>J. Navigation</addtitle><date>2017-11</date><risdate>2017</risdate><volume>70</volume><issue>6</issue><spage>1367</spage><epage>1382</epage><pages>1367-1382</pages><issn>0373-4633</issn><eissn>1469-7785</eissn><abstract>The Strait of Istanbul is one of the most congested and risky waterways in the world. Navigation patterns have been investigated using Automatic Indentification System (AIS) data collected over a long period. 1·5 billion AIS messages, gathered over a year from 309,000 moving vessels in the Strait were stored in a Structured Query Language (SQL) database. Grid-based analysis is used to track the time, number, position, type, dimension, heading, speed and course over ground of ships. Local traffic, whose effect on maritime risk has often been neglected, is found to dominate transit traffic by a ratio of eight to one. Vessel distributions indicate that the most common lengths of vessels are 100 m and 170 m. Draught analysis shows a net transfer of goods from north to south. Southbound vessels are more likely to exceed the enforced speed limit due to predominant currents. Courses indicate that the local traffic strongly affects navigation patterns, especially at sectors with sharp turns. All these results help to understand the navigation patterns of ships and give the necessary input to assist in predicting maritime risk.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0373463317000431</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0373-4633 |
ispartof | Journal of navigation, 2017-11, Vol.70 (6), p.1367-1382 |
issn | 0373-4633 1469-7785 |
language | eng |
recordid | cdi_proquest_journals_1947583248 |
source | Cambridge University Press Journals Complete |
subjects | Analysis Civil engineering Frequencies Identification systems International conferences Messages Navigation Ocean engineering Oil spills Query languages Regulation Ships Straits Studies Tracking Traffic speed Vessels Waterways |
title | Maritime Traffic Analysis of the Strait of Istanbul based on AIS data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T18%3A32%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Maritime%20Traffic%20Analysis%20of%20the%20Strait%20of%20Istanbul%20based%20on%20AIS%20data&rft.jtitle=Journal%20of%20navigation&rft.au=Altan,%20Yigit%20C.&rft.date=2017-11&rft.volume=70&rft.issue=6&rft.spage=1367&rft.epage=1382&rft.pages=1367-1382&rft.issn=0373-4633&rft.eissn=1469-7785&rft_id=info:doi/10.1017/S0373463317000431&rft_dat=%3Cproquest_cross%3E1947583248%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1947583248&rft_id=info:pmid/&rft_cupid=10_1017_S0373463317000431&rfr_iscdi=true |