Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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A Study of Development a Big Data-based CS Model for Maritime Traffic Assessment

  • Eui-Jong Lee (SafeTechResearch,) ;
  • Hyun-suk Kim (SafeTechResearch,) ;
  • Seung-yeon Kim (Division of Navigation Science, Mokpo National Maritime University) ;
  • Young-Joong Ahn (Division of Navigation Convergence Studies, Korea Maritime and Ocean University) ;
  • Yun-sok Lee (Division of Coast Guard Studies, Korea Maritime and Ocean University)
  • Received : 2024.10.14
  • Accepted : 2024.10.25
  • Published : 2024.10.31
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Abstract

This research develops a big data-based CS model for maritime traffic assessment, motivated by global shipping growth, the impact of COVID-19, changes in consumer culture, and Industry 4.0 expansion in maritime sectors. Maritime traffic, crucial for global trade, demands effective management for safety and efficiency. This study aims to quantitatively and objectively evaluate maritime traffic smoothness by analyzing ship operation data. The CS model focuses on unique maritime characteristics, leveraging big data to enhance traffic management solutions and safety. The research methodology includes analyzing domestic and international trends and data to reflect maritime spatiality and continuity. The model's efficacy is tested through case studies on major port routes, comparing it with existing models to suggest improvements. This new approach provides a framework for optimizing maritime traffic routes and supports autonomous, unmanned, and smart ship operations, setting a new paradigm for maritime traffic management.

Keywords

Acknowledgement

This research was supported by the "2024 Research Project on the Safety Assessment of Ship Routes" from the Ministry of Oceans and Fisheries.

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