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1
Content available Bow Crossing Range correlation of small vessels – AIS data analysis with prospective application to autonomous ships
Stolzmann Łukasz
Scientific Journal of Gdynia Maritime University
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2022
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nr 121
41--52
EN
The development of technology has reduced the crews of ships. This trend leads to at least partial elimination of human crews in favour of autonomous ships. As more and more of them will be introduced, a safety problem arises when manoeuvring the ships in relation to each other. Therefore, there is a need to identify the factors that have an impact on determining how to maintain safe distances between ships in order to find relationships that will be useful for the development of autonomous ships. This can currently only be analysed on samples of manned vessels. Therefore, this paper aims to analyse the correlation of the Bow Crossing Range (BCR) with other ship-related data provided by AIS on ships up to 100 m long. The results of this study may be found interesting by academia, maritime industry, and autonomous ship developers.
2
Content available Analysis of the reliability of data on the density of traffic of fishing vessels engaged in fishing with regard to the risk of damage to underwater cables
Marcjan K., Dzikowski R.
Zeszyty Naukowe Akademii Morskiej w Szczecinie
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2018
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nr 56 (128)
86--92
EN
Accidental damage to underwater cables caused by ship traffic seems to be a current problem. According to the statistics more than 44 percent of such damage is caused by fishing vessels. The reason for the next 14 percent is damage from ships’ anchors. The construction of the underwater installation risk model was based on the determination of the density of the traffic in the area where the installation is located. There are several models used to assess the risk of underwater cable damage requiring the implementation of data on the density of traffic of fishing vessels. For this purpose, they usually use AIS (Automatic Identification System) data or statistical data on traffic density in the areas called fishing squares. The aim of this article was to compare traffic data that was based on two independent systems AIS and VMS (Vessel Monitoring System) and verify the reliability of them. The research was carried out in the area of the Slupsk Bank where an underwater cable has been damaged several times. The authors have demonstrated the need to verify the data from both systems in order to obtain reliable information about fishing vessels.
3
Content available Big data for anomaly detection in maritime surveillance: spatial AIS data analysis for tankers
Filipiak D., Stróżyna M., Węcel K., Abramowicz W.
Zeszyty Naukowe Akademii Marynarki Wojennej
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2018
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R. 59 nr 4 (215)
5--28
EN
The paper presents results of spatial analysis of huge volume of AIS data with the goal to detect predefined maritime anomalies. The maritime anomalies analysed have been grouped into: traffic analysis, static anomalies, and loitering detection. The analysis was carried out on data describing movement of tankers worldwide in 2015, using sophisticated algorithms and technology capable of handling big data in a fast and efficient manner. The research was conducted as a follow-up of the EDA-funded SIMMO project, which resulted in a maritime surveillance system based on AIS messages enriched with data acquired from open Internet sources.
PL
W artykule zaprezentowano wyniki przestrzennej analizy dużej ilości danych AIS z jednego roku w celu wykrycia wybranych anomalii morskich. Anomalie podzielono na trzy grupy: związane z ruchem, statyczne i wykrywanie tzw. loiteringu-każda z nich została przetestowana na podstawie raportów wysyłanych przez tankowce w 2015 roku. Analizę przeprowadzono przy użyciu zaawansowanych algorytmów i technologii big data pozwalających na szybką ocenę dużych wolumenów danych morskich. Badanie zostało przeprowadzone jako kontynuacja projektu SIMMO, w ramach którego opracowano system nadzoru morskiego oparty na wiadomościach AIS wzbogaconych o dane pozyskiwane z otwartych źródeł internetowych.
4
Content available Evaluation of near-collisions in the Tagus River Estuary using a marine traffic simulation model
Rong H., Teixeira A., Soares C. G.
Zeszyty Naukowe Akademii Morskiej w Szczecinie
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2015
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nr 43 (115)
68--78
EN
This paper evaluates near ship-ship collision situations in the Tagus River Estuary using a simulation model of ship navigation in restricted waters. The simulation model consists of a ship collision avoidance model based on the Artificial Potential Field (APF) method, which has been improved to account for the lateral distribution of traffic along the route, the ship type and length and speed development of the ships along the trajectory. AIS data of ships entering and leaving the port of Lisbon are analysed to obtain the main characteristics of traffic parameters used as input for the traffic simulation model, such as: the routes of the vessels, speed distribution along the routes, traffic density and characteristics of the ships in each route, among others. First, the improved model of ship navigation and the Monte Carlo simulation technique are used to simulate the marine traffic in the Tagus River Estuary. Then, the concept of “ship domain” is used as collision criterion to determine the number of near collisions and the locations where they are most likely to occur. Finally, the simulation results are compared to the ones obtained from raw AIS data to assess the capability of the simulation model for marine traffic risk analysis.
5
Content available Predict manoeuvring indices using AIS data by ridge regression
Mou J., Tang G., Rong H., Yue X.
Zeszyty Naukowe / Akademia Morska w Szczecinie
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2013
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nr 36 (108) z. 2
137--142
EN
The ridge regression is presented for identify manoeuvring indices in Nomoto’s model, and the result indicates that the method is robust and does not rely on initial estimation. For selecting appropriate AIS data for manoeuvring indices predicting, a frequency domain identification method is presented.
6
Content available Quantitative assessment of risk to ship traffic in the fehmarnbelt fixed link project
Rasmussen F. M., Glibbery K. A. K., Melchild K., Hansen M. G., Jensen T. K., Lehn-Schiøler T., Randrup-Thomsen S.
Journal of Polish Safety and Reliability Association
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2012
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Vol. 3, No. 1
123--134
EN
Rambøll is on behalf of Femern A/S carrying out navigational studies of the vessel traffic conditions in the Fehmarnbelt in connection with the establishment of a future Fehmarnbelt fixed link, a 19 km long bridge or immersed tunnel connection crossing the Fehmarnbelt. The focus is on documenting safety and efficiency for the vessel traffic when a fixed link is crossing the Fehmarnbelt. Rambøll has developed the ShipRisk software package to perform the quantitative risk assessments in the Fehmarnbelt fixed link project. Focus in this article is on describing the background for estimating frequencies of ship accidents in ShipRisk and describe factors influencing the accident scenarios and present the work performed for testing and verifying the model.
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