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Tytuł:
Expanding the possibilities of AIS data with heuristics
Autorzy:
Smestad, B.B.
Rødseth, Ø.J.
Asbjjørnslett, B.E.
Powiązania:
https://bibliotekanauki.pl/articles/116611.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
heuristics
commercial ship data registers
heuristic training
heuristic testing
satellite AIS Data
commercial vessel database
Opis:
Automatic Identification System (AIS) is primarily used as a tracking system for ships, but with the launch of satellites to collect these data, new and previously untested possibilities are emerging. This paper presents the development of heuristics for establishing the specific ship type using information retrieved from AIS data alone. These heuristics expand the possibilities of AIS data, as the specific ship type is vital for several transportation research cases, such as emission analyses of ship traffic and studies on slow steaming. The presented method for developing heuristics can be used for a wider range of vessels. These heuristics may form the basis of large-scale studies on ship traffic using AIS data when it is not feasible or desirable to use commercial ship data registers.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 2; 279-286
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic Identification System (AIS) dynamic data estimation based on discrete Kalman Filter (KF) algorithm
Estymacja danych dynamicznych automatycznego systemu identyfikacji (AIS) w oparciu o algorytm dyskretnego filtru Kalmana (KF)
Autorzy:
Jaskólski, K.
Powiązania:
https://bibliotekanauki.pl/articles/222905.pdf
Data publikacji:
2017
Wydawca:
Akademia Marynarki Wojennej. Wydział Dowodzenia i Operacji Morskich
Tematy:
AIS
Kalman filter
AIS data estimation
filtr Kalmana
estymacja danych AIS
Opis:
Due to the safety reason, the ship movement on the littoral area should be monitored, tracked, recorded and stored. Automatic Identification System (AIS) is the perfect tool to ensure this requirement. The limit probability for the AIS dynamic data availability can be limited by the lack of Global Position System (GPS) signal, heading (HDG) and rate of turn (ROT) data in position report. Availability of data link is an additional limitation. For this purpose, it is possible to attach the Discrete Kalman filter (KF) for the position, and course estimation. Coordinate estimation in the absence of a transmission link can improve the quality of AIS service at Vessel Traffic Service (VTS) stations. This article presents Kalman filtering algorithm to improve the possibilities of ship motion tracking and monitoring in the TSS (Traffic Separation Scheme) and fairways area. Only 39 iterations were presented to familiarize how the Kalman filter algorithm works. The archival data from 2006 were used deliberately. During that time, there were problems with the AIS availability service. With the use of measurements series from those years, it is easier to observe the effectiveness of Kalman filter in absence of AIS data.
Dla zapewnienia bezpieczeństwa żeglugi ruch jednostek pływających w rejonie wód wewnętrznych i w strefie przybrzeżnej powinien być monitorowany i rejestrowany, najlepiej w postaci cyfrowej. Doskonałym narzędziem do tego celu jest automatyczny system identyfikacji (AIS). Dostępność danych dynamicznych AIS może zostać jednak zredukowana z powodu braku dostępu do systemów pozycjonowania (GPS) oraz braku danych o kursie (HDG) i prędkości kątowej (ROT) w raportach pozycyjnych. Niedostępność łącza komunikacyjnego w paśmie VHF jest dodatkowym ograniczeniem systemu. W celu estymacji danych dotyczących pozycji i kursu statku w czasie, gdy dane te nie są dostępne, można zastosować dyskretny filtr Kalmana (KF). Estymacja współrzędnych w przypadku braku łącza komunikacyjnego wynikającego z ograniczeń dostępności systemu AIS podnosi jakość serwisu zarządzania ruchem statków (VTS). W artykule zaprezentowano 39 iteracji filtru Kalmana. Celowo zastosowano dane archiwalne z 2006 roku, albowiem w tych rejestracjach występują wyraźne przerwy w strumieniu danych. Rzecz w tym, że efektywność zaproponowanego rozwiązania łatwiej zaobserwować, jeśli zostaną zastosowane serie pomiarowe z okresu, gdy występowały problemy z dostępnością serwisu AIS.
Źródło:
Zeszyty Naukowe Akademii Marynarki Wojennej; 2017, R. 58 nr 4 (211), 4 (211); 71-87
0860-889X
Pojawia się w:
Zeszyty Naukowe Akademii Marynarki Wojennej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of satellite AIS Data to derive weather judging criteria for voyage route selection
Autorzy:
Fujii, M.
Hashimoto, H.
Taniguchi, Y.
Powiązania:
https://bibliotekanauki.pl/articles/116513.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
voyage route selection
route planning
satellite AIS Data
North Pacific Ocean
weather forecast
decision-making criteria
Opis:
The operational limitations are discussed at the IMO as a part of the second generation intact stability criteria. Since it is a first attempt to introduce operational efforts into safety regulations, comprehensive discussions are necessary to realize practically acceptable ones. Therefore this study investigates actual navigation routes of container ships and pure car carriers in the trans-North Pacific Ocean in winter, because they are prone to suffer significant parametric roll which is one of stability failure modes. Firstly, interviews are made to shipmasters who have experiences to have operated the subject ships to identify major elements for route selection in the North Pacific Ocean. Secondly, sufficient number of actual navigation records is collected from Satellite AIS data to derive the weather criteria for the route selection in severe weather condition. Finally, shipmaster’s on-board decision-making criteria are discussed by analysing the ship tracking data and weather data.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 2; 271-277
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identifying and Analyzing Safety Critical Maneuvers from High Resolution AIS Data
Autorzy:
Mestl, T.
Tallakstad, K.T.
Castberg, R.
Powiązania:
https://bibliotekanauki.pl/articles/117375.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
Automatic Identification System (AIS)
High Resolution AIS Data
Critical Maneuvers
1-2-3 Rule
vessel traffic service (VTS)
AIS Transponder
Safety of Navigation
Opis:
We demonstrate the value in previously disregarded parameters in AIS data, and present a novel way of quickly identifying and characterizing potentially safety critical situations for vessels with a properly configured AIS transponder. The traditional approach of studying (near) collision situations, is through vessel conflict zones, based on vessel location and speed from low resolution AIS data. Our approach utilizes the rate of turn parameter in the AIS signal, at maximum time resolution. From collision investigation reports it is often seen that prior to or at collision navigators perform frenetic rudder actions in the hope to avoid collision in the last second. These hard maneuverings are easily spotted as non-normal rate of turn signals. An identified potential critical situation may then be further characterized by the occurring centripetal acceleration a vessel is exposed to. We demonstrate the novelty of our methodology in a case study of a real ship collision. As the rate of turn parameter is directly linkable to the navigator behavior it provides information about when and to what degree actions were taken. We believe our work will therefore inspire new research on safety and human factors as a risk profiles could be derived based on AIS data.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 1; 69-77
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predict manoeuvring indices using AIS data by ridge regression
Autorzy:
Mou, J.
Tang, G.
Rong, H.
Yue, X.
Powiązania:
https://bibliotekanauki.pl/articles/359863.pdf
Data publikacji:
2013
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
ridge regression
manoeuvring
AIS data
prediction
collision avoidance
Opis:
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.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2013, 36 (108) z. 2; 137-142
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Two-dimensional coordinate estimation for missing automatic identification system (AIS) signals based on the discrete Kalman filter algorithm and universal transverse mercator (UTM) projection
Autorzy:
Jaskólski, K.
Powiązania:
https://bibliotekanauki.pl/articles/135285.pdf
Data publikacji:
2017
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
AIS
Kalman filter
AIS data estimation
data fusion
ship movement prediction
ship motion tracking
Opis:
Due to safety reasons, the movement of a ship in coastal areas should be monitored, tracked, recorded, and stored. The Automatic Identification System (AIS) is a suitable tool to use in performing these functions. The probability limit for the AIS dynamic data availability can be limited by the lack of a Global Position System (GPS) signal, heading (HDG), and rate of turn (ROT) data in the position report. The unavailability of a data link is an additional limitation. To fill this gap, it is possible to attach the discrete Kalman filter (KF) for the position and course estimation. Coordinate estimation in the absence of a transmission link can improve the quality of the AIS service at Vessel Traffic Service (VTS) stations. This paper has presented the Kalman filtering algorithm to improve the possibilities for ship motion tracking and monitoring in the TSS (Traffic Separation Scheme) and fairways area. More than 570 iterations were calculated and the results have been presented in figures to familiarize the reader with the operating principle of the Kalman filter algorithm.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2017, 52 (124); 82-89
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big data for anomaly detection in maritime surveillance: spatial AIS data analysis for tankers
BIG data i wykrywanie anomalii w ruchu morskim: przestrzenna analiza danych AIS dla tankowców
Autorzy:
Filipiak, D.
Stróżyna, M.
Węcel, K.
Abramowicz, W.
Powiązania:
https://bibliotekanauki.pl/articles/222861.pdf
Data publikacji:
2018
Wydawca:
Akademia Marynarki Wojennej. Wydział Dowodzenia i Operacji Morskich
Tematy:
maritime surveillance
AIS data
anomaly detection
big data
nadzór morski
dane AIS
wykrywanie anomalii
Opis:
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.
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.
Źródło:
Zeszyty Naukowe Akademii Marynarki Wojennej; 2018, R. 59 nr 4 (215), 4 (215); 5-28
0860-889X
Pojawia się w:
Zeszyty Naukowe Akademii Marynarki Wojennej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of AIS data for qualitative and quantitative analysis of ship traffic flows
Autorzy:
Naus, Krzysztof
Wąż, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/316633.pdf
Data publikacji:
2019
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
automatic identification system
qualitative and quantitative analysis
processing AIS data
Opis:
The article presents the idea of method of processing AIS data into information useful for qualitative and quantitative analysis of ship traffic flows. In the introduction the manner of exchanging and storing data in AIS was generally characterised. An original programme for creating maps of ship traffic intensity and tabular ship profiles was described in the main part. The last part presents analysis of ship traffic flows in the Gdańsk Bay in the year 2017, conducted with the use of the original software.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2019, 20, 12; 237-240
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ship Behavior Analysis for Real Operating of Container Ships Using AIS Data
Autorzy:
Gao, X.
Makino, H.
Furusho, M.
Powiązania:
https://bibliotekanauki.pl/articles/116131.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
Container Ship
Real Operating of Container Ships
Opis:
The aim of this paper is to understand the real activity and operating situation of container ships in order to improve navigation efficiency. The study focused on the navigation for an entire ship voyage to understand the real activity of container ships using the historical ship navigation based on Automatic Identification System (AIS) data, which is possible so as to unveil the characteristics of real ship activity. The analysis considers ship voyages in the Seto Inland Sea and its oceanic waters, which are the primary traffic routes for container transportation particularly for China, Japan, and South Korea. The results of this study can be used to improve the efficiency of container ships and develop a smoother maritime transportation.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 213-220
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study Reliability of the Information About the CPA and TCPA Indicated by the Ships AIS
Autorzy:
Wawruch, R.
Powiązania:
https://bibliotekanauki.pl/articles/117321.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime-related data
AIS Data
Automatic Identification System (AIS)
CPA
TCPA
ARPA
reliability of information
colregs
Opis:
According to the IMO recommendation when the target data from AIS and radar tracking are both available and the association criteria are fulfilled such that the AIS and radar information are considered as for one physical target, then as a default condition in radar equipment, the AIS target symbol and the alphanumerical AIS target data should be automatically selected and displayed only. The article presents research conducted in real conditions on the reliability of information presented by the ship's AIS about the passing distance with the other vessel equipped with AIS and time to pass it by comparing data from the AIS with that presented by ARPA.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 3; 417-424
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Comparison Study on AIS Signal Reception Rate with Directional Antenna and Omni Antenna
Autorzy:
Xu, T.
Hu, Q.
Xiang, Z.
Yang, C.
Wang, D.
Powiązania:
https://bibliotekanauki.pl/articles/116436.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Signal
AIS Data
Yagi antenna
Omni antenna
Directional Antenna
reception rate
VHF Technology
Opis:
With the wide use of AIS system in the world, especially in ports and the waters with heavy traffic, AIS message loss may be related to environmental conditions, obstacle, limitation of VHF technology and AIS network overload, thereby reducing the AIS signal successful reception rate. This paper selected typical AIS data received by Yagi and Omni antennas at the same time in specific waters, uses grid and AIS data recovery technology, establishes the AIS signal coverage model, analyzes signal reception rate of Yagi antenna and Omni antenna of AIS base station, and verified the superiority of Yagi antenna in AIS signal reception rate.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 205-211
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ship route planning using historical trajectories derived from AIS Data
Autorzy:
He, Y. K.
Zhang, D.
Zhang, J. F.
Zhang, M. Y.
Li, T. W.
Powiązania:
https://bibliotekanauki.pl/articles/116536.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
Automatic Identification System (AIS)
route planning
historical trajectories
AIS messages
marine traffic
Dijkstra algorithm
ant colony algorithm
Opis:
Ship route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship's historical route information was obtained by processing the AIS data. From which the ship turning point was extracted and clustered as nodes. The ant colony algorithm was used to generate the optimize route. The ship AIS data of the Three Gorges dam area was selected as a case study. The ships’ optimized route was generated, and further compared with the actual ship's navigation trajectory. The results indicate that there is space of improvement for some of the trajectories, especially near the turning areas.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 1; 69-76
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Algorithm for Interpolating Ship Motion Vectors
Autorzy:
Hu, Q.
Cai, F.
Yang, C.
Shi, C.
Powiązania:
https://bibliotekanauki.pl/articles/116863.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Ship Motion
Ship Motion Vector
Automatic Identification System (AIS)
AIS Dynamic Information
Algorithm, Ship's Acceleration
AIS Data
Vector Function
Opis:
Interpolation of ship motion vectors is able to be used for estimating the lost ship AIS dynamic information, which is important for replaying marine accidents and for analysing marine traffic data. The previous methods can only interpolate ship’s position, while not including ship's course and speed. In this paper, vector function is used to express the relationship between the ship’s time and space coordinates, and the tangent of the vector function and its change rate are able to express physical characteristics of ship’s course, speed and acceleration. The given AIS dynamic information can be applied to calculate the parameters of ship's vector function and then the interpolation model for ship motion vectors is developed to estimate the lost ship dynamic information at any given moment. Experiment results show that the ship motion vector function is able to depict the characteristics of ship motions accurately and the model can estimate not only the ship’s position but also ship’s course and speed at any given moment with limited differences.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 1; 35-40
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Autorzy:
Shen, K. Y.
Chu, Y. J.
Chang, S. J.
Chang, S. M.
Powiązania:
https://bibliotekanauki.pl/articles/1841621.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
deep learning framework
learning methods
Recurrent Neural Network
(RNN)
Automatic Identification System
(AIS)
fishing operation
Opis:
Previous researches on the prediction of fishing activities mainly rely on the speed over ground (SOG) as the referential attribute to determine whether the vessel is navigating or in fishing operation. Since more and more fishing vessels install Automatic Identification System (AIS) either voluntarily or under regulatory requirement, data collected from AIS in real time provide more attributes than SOG which may be utilized to improve the prediction. To be specific, the ships' trajectory patterns and the changes in course become available and should be considered. This paper aims to improve the accuracy in the identification of fishing activities. First, we do feature extraction from the AIS data of coastal waters around Taiwan and build a Recurrent Neural Network (RNN) model. Then, the activity data of fishing vessels are divided into fishing and non-fishing. Finally, based on the testing by feeding various fishing activity data, we can identify the fishing status automatically.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 3; 527-531
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of near-collisions in the Tagus River Estuary using a marine traffic simulation model
Autorzy:
Rong, H.
Teixeira, A.
Soares, C. G.
Powiązania:
https://bibliotekanauki.pl/articles/135293.pdf
Data publikacji:
2015
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
near-collisions
ship domain
marine traffic simulation
artificial potential field
AIS data
maritime safety
Opis:
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.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 43 (115); 68-78
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 46

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