Şengül, B.; Yılmaz, F.; Uğurlu, Ö. Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas. Sustainability2023, 15, 16381.
Şengül, B.; Yılmaz, F.; Uğurlu, Ö. Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas. Sustainability 2023, 15, 16381.
Şengül, B.; Yılmaz, F.; Uğurlu, Ö. Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas. Sustainability2023, 15, 16381.
Şengül, B.; Yılmaz, F.; Uğurlu, Ö. Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas. Sustainability 2023, 15, 16381.
Abstract
In today's world, wherein more than 80% of world trade is carried out by maritime routes, the safety and security of the seas where this trade takes place is of vast importance for nations and the in-ternational community. For this reason, ensuring the sustainable safety and security of the seas has become an integral part of the mission of all maritime-related entities. The utilization of big data extracted from the seas and maritime activities into meaningful information with artificial intelli-gence applications and developing applications that can be used in maritime surveillance will be of great importance for augmenting maritime safety and security. In this article, data sources which can be used by a maritime surveillance system based on big data and artificial intelligence tech-nologies and which can be established around sensitive sea areas and critical coastal facilities, are identified and a model proposal using this maritime big data is put forward.
Keywords
big data; artificial intelligence; maritime surveillance; maritime security; sustainability
Subject
Engineering, Marine Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
