Operational Analysis of Container Ships by Using Maritime Big Data
- Abstract
- The shipping company or the operator determines the mode of operation of a ship. In the case of container ships, there may be various operating patterns employed to arrive at the destination within the stipulated time. In addition, depending on the influence of the ocean's environmental conditions, the speed and the route can be changed. As the ship's fuel oil consumption is closely related to its operational pattern, it is possible to identify the most economical operations by analyzing the operational patterns of the ships. The operational records of each shipping company are not usually disclosed, so it is necessary to estimate the operational characteristics from publicly available data such as the automatic identification system (AIS) data and ocean environment data. In this study, we developed a visualization program to analyze the AIS data and ocean environmental conditions together and propose two categories of applications for the operational analysis of container ships using maritime big data. The first category applications are the past operation analysis by tracking previous trajectories, and the second category applications are the speed pattern analysis by shipping companies and shipyards under harsh environmental conditions. Thus, the operational characteristics of container ships were evaluated using maritime big data.
- Author(s)
- 노명일; 박성우; 손명조; 오민재; 이정렬; 전도현
- Issued Date
- 2021
- Type
- Article
- Keyword
- operational analysis; automatic identification system; ocean environmental conditions; maritime big data; container ship
- DOI
- 10.3390/jmse9040438
- URI
- https://oak.ulsan.ac.kr/handle/2021.oak/8804
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_doaj_primary_oai_doaj_org_article_8a87cf7183b94d52b010b14e0583ad4e&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Operational%20Analysis%20of%20Container%20Ships%20by%20Using%20Maritime%20Big%20Data&offset=0&pcAvailability=true
- Publisher
- JOURNAL OF MARINE SCIENCE AND ENGINEERING
- Location
- 스위스
- Language
- 영어
- ISSN
- 2077-1312
- Citation Volume
- 9
- Citation Number
- 4
- Citation Start Page
- 438
- Citation End Page
- 738
-
Appears in Collections:
- Engineering > Aerospace Engineering
- Authorize & License
-
- Files in This Item:
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.