Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea
Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer program...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2018-12-01
|
Series: | Polish Maritime Research |
Subjects: | |
Online Access: | https://doi.org/10.2478/pomr-2018-0131 |
_version_ | 1818436392890400768 |
---|---|
author | Kundakçi Burak Nas Selçuk |
author_facet | Kundakçi Burak Nas Selçuk |
author_sort | Kundakçi Burak |
collection | DOAJ |
description | Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced. |
first_indexed | 2024-12-14T17:08:03Z |
format | Article |
id | doaj.art-044402d8bad84570aca9ba84e5919648 |
institution | Directory Open Access Journal |
issn | 2083-7429 |
language | English |
last_indexed | 2024-12-14T17:08:03Z |
publishDate | 2018-12-01 |
publisher | Sciendo |
record_format | Article |
series | Polish Maritime Research |
spelling | doaj.art-044402d8bad84570aca9ba84e59196482022-12-21T22:53:41ZengSciendoPolish Maritime Research2083-74292018-12-01254495810.2478/pomr-2018-0131pomr-2018-0131Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean SeaKundakçi Burak0Nas Selçuk1Dokuz Eylul University, Maritime Faculty, Buca, 35160,Izmir, TurkeyDokuz Eylul University, Maritime Faculty, Buca, 35160,Izmir, TurkeyAutomatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced.https://doi.org/10.2478/pomr-2018-0131automatic identification systemmarine trafficmarine traffic analysis |
spellingShingle | Kundakçi Burak Nas Selçuk Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea Polish Maritime Research automatic identification system marine traffic marine traffic analysis |
title | Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea |
title_full | Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea |
title_fullStr | Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea |
title_full_unstemmed | Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea |
title_short | Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea |
title_sort | mapping marine traffic density by using ais data an application in the northern aegean sea |
topic | automatic identification system marine traffic marine traffic analysis |
url | https://doi.org/10.2478/pomr-2018-0131 |
work_keys_str_mv | AT kundakciburak mappingmarinetrafficdensitybyusingaisdataanapplicationinthenorthernaegeansea AT nasselcuk mappingmarinetrafficdensitybyusingaisdataanapplicationinthenorthernaegeansea |