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The Collision Risk Management Method for Ships Navigating on Coastal Waters Based on Ship Domain and Near-Miss Concept

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  • Krzysztof Marcjan
  • Lucjan Gucma
  • Kotkowska Diana

Abstract

Purpose: The purpose of the paper is to present an innovative method of identification of navigational near-misses on the basis of a probabilistic domain, which can be used to assess the safety of navigation and to discover places potentially dangerous for navigation. Design/Methodology/Approach: Probabilistic domain construction based on a large amount of AIS data in a selected navigational area. Findings: In order to build and develop methods to assess the safety of navigation, ship probabilistic domains for three types of vessel encounter situations have been determined based on the AIS traffic monitoring data. Domains have been constructed for vessels moving in open waters with high traffic density in the Southern Baltic Sea. Practical Implications: One of the most important concepts concerning the safety of navigation at sea is the ship domain. The authors believe that data from vessel monitoring systems can be used to determine the limits of distances between passing vessels that are characteristic of specific water areas and fully take into account all factors influencing navigational decisions. Originality/Value: The novelty presented in the article is the method of navigational near-misses identification based on the probabilistic ship domain, which is universal for all vessels in a selected area.

Suggested Citation

  • Krzysztof Marcjan & Lucjan Gucma & Kotkowska Diana, 2021. "The Collision Risk Management Method for Ships Navigating on Coastal Waters Based on Ship Domain and Near-Miss Concept," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 127-146.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:127-146
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    References listed on IDEAS

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    1. Mazzarello, Maura & Ottaviani, Ennio, 2007. "A traffic management system for real-time traffic optimisation in railways," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 246-274, February.
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    More about this item

    Keywords

    Ship collision; navigational risk management; ship domain; AIS data analysis; near-miss of collision.;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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