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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., peer-reviewed

The paper presents the use of the Fast-Time navigational simulator to verify the location of designed elements of navigational infrastructure in vicinity of a high traffic fairway. The aim of the study is to perform the analysis of navigational safety in vicinity of newly constructed quay placed to the east of the island Ostrow Brdowski. The Quay is intended handling of large steel structures. The Fast-Time simulation is performed to evaluate the safety of the navigation passage through the fairway along the quay for the future use of vessels which length may exceed 260 m. This kind of simulation method has been implemented to make a statistical analysis based on a large amount of data, the collection of which would be very expensive and time consuming using a Real-Time simulator.

The paper discusses issues of the impact of traffic density of the vessels on the sea surface to offshore underwater pipelines. The risk includes vessel foundering, sinking, grounding, dropping and dragging anchors, trawling fishing gear. The density of merchant, offshore field support vessels and fishing vessels presented by this paper is base for build risk model for underwater infrastructures. As an example it has been analyzed ships traffic over underwater gas pipeline between platform Baltic Beta and Wladyslawowo power plant.

One of the most important concepts concerning the safety of navigation is the ship domain. The maritime domain is one of the oldest domains, which preceded the ones used in aviation, railway industry, chemical industry and medical. Through the concept of a ship domain is to be understood a certain area around the vessel, which the navigator wants to keep free of other fixed and moving objects. Navigational situation can be considered safe as long as no other ship neither any navigational obstacle would not exceed the area. In order to build and develop methods to assess the safety of the navigation, a ship probabilistic domains for three types of vessel encounter situations were determined based on the AIS traffic monitoring data. The aim of the paper is to present a method to identify navigational incidents on the basis of a probabilistic domain, which can be used to assess the safety of navigation and discovery places potentially dangerous for navigation in the selected areas of the Baltic Sea.

This paper presents assumptions and process of the forming of a risk assessment model for collision between a passenger ferry departing from or approaching port of Świnoujście and a chemical tanker carrying a dangerous cargo. In order to assess navigational safety on the basis of data obtained from AIS system, were prepared probabilistic domains of ships, which made it possible to estimate number of navigational incidents as well as their spatial distribution, that consequently allowed to determine potentially dangerous areas. The next phase was formulation of a simulative model intended for the calculating of probability of collision between the ferry and chemical tanker as well as the determining of characteristic scenarios for such collision. This paper presents also an analysis of consequences of the collision with taking into consideration a damage of cargo tanks.