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EN WIRE · 2026-09-28 09:56

KOMSA Opens AI-Predicted 72-Hour Sea Congestion Data to the Public

True

The Korea Marine Transportation Safety Authority (KOMSA) has made publicly available maritime congestion data predicted by AI over a 72-hour horizon, expanding open access to information on sea traffic conditions around the Korean coast.

원문 주장 (KR)
한국해양교통안전공단(KOMSA), 인공지능(AI)이 예측한 '72시간 해상 혼잡도' 데이터 개방

AI-based maritime congestion forecast

KOMSA, the Korean maritime transport safety authority, publishes predictions of congestion levels across coastal waters generated by its artificial intelligence system. The dataset, covering a 72-hour forecast window, is released through open data channels, allowing companies and researchers to access sea traffic congestion estimates in advance.

The initiative positions AI-driven prediction as a tool for maritime logistics and traffic safety planning, giving stakeholders visibility into expected congestion rather than only current conditions.

Availability and further details

The data is provided via KOMSA's official website, with supporting materials published alongside the release. Details such as specific coverage areas, update frequency, and licensing terms were not specified in the materials reviewed, and remain to be confirmed by users directly through the authority's data portal.

Conclusion

The claim that KOMSA has opened AI-predicted 72-hour maritime congestion data to the public is True.

Sources — primary documents (12)
  1. https://www.data.go.kr/data/15161594/openapi.do
  2. https://www.data.go.kr/data/15131205/fileData.do
  3. https://mtis.komsa.or.kr/traffic/focst/density
  4. https://korea.kr/news/policyNewsView.do?newsId=148925180
  5. https://www.komsa.or.kr/bbs/BBSMSTR_000000000744/view.do?nttId=B000000022883Ec7lH5&mno=sub06_0101
  6. https://www.komsa.or.kr/bbs/BBSMSTR_000000000744/view.do?nttId=B000000031246Xz3rK3&mno=sub06_0101
  7. https://mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000008&nttId=122913
  8. https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000008&nttId=126567
  9. https://news.nate.com/view/20260827n31629
  10. http://www.shippingnewsnet.com/news/articleView.html?idxno=72224
  11. https://www.newsis.com/view/NISX20260928_0003804595
  12. http://www.haesanews.com/news/articleView.html?idxno=151450

KR: /news/20260928-164dc6 · 판정: 사실