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    Wyświetlanie 1-5 z 5
    Tytuł:
    Marine Traffic Real-Time Safety Index
    Autorzy:
    Xu, T.
    Hu, Q. Y.
    Xiang, Z.
    Wang, D. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/116195.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Vessel Traffic
    safety at sea
    Marine Traffic
    Marine Traffic Real-Time Safety Index
    Real Time
    Real-Time Safety Index
    Automatic Identification System (AIS)
    Waigaoqiao Channel
    Opis:
    To reflect the safety degree of marine traffic in real-time and intuitively, this paper put forward a concept of real-time safety index of marine traffic, established marine traffic real-time safety index system, and constructed a real-time safety index evaluation model by using vessel traffic and navigation environmental data provided by shore-based AIS base station network, and quantifying a variety of data which impacts the safety of marine traffic such as ships’ real-time dynamic data, weather changes and so on. A continuous real-time evaluation to a specific area was carried out in the form of real-time index curve, taking the Waigaoqiao Channel of Port Shanghai as an example, to verify the feasibility and effectiveness of marine traffic real-time safety index.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8 no. 4; 599-603
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Procedure for Marine Traffic Simulation with AIS Data
    Autorzy:
    Miyake, R.
    Fukuto, J.
    Hasegawa, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/117537.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    AIS Data
    Marine Traffic
    Marine Traffic Simulation
    Collision Avoidance
    Automatic Identification System (AIS)
    safety at sea
    Traffic Simulation
    Navigation Environment
    Opis:
    It is essential to evaluate safety of marine traffic for the improvement of efficiency and safety of marine traffic. Spread of AIS makes observation of actual marine traffic more easily and faster than before. Besides, description of collision avoidance behaviours of ships are indispensable to simulate a realistic marine traffic. It is important to develop and implement an algorithm of collision avoidance corresponding to a target traffic or target area into the marine traffic simulation because actual actions for collision avoidance depend on circumstances where ships are sailing. The authors developed an automated marine traffic simulation system with AIS data. And in this paper, we proposed a series of systematic procedures for marine traffic simulation including analysing for collision avoidance behaviours using AIS data.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 59-66
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of Automatic Identification System on Safety of Navigation at Sea
    Autorzy:
    Stupak, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/117256.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    marine navigation
    Automatic Identification System (AIS)
    safety at sea
    Safety of Navigation
    Gulf of Gdansk
    vessel traffic service (VTS)
    Radar Target
    Radar Tracking
    Opis:
    Detection of small crafts/targets, in particular, sailing yachts with the ship's radar is not always possible. Radar reflectors are used to improve their detection. The AIS (Automatic Identification System) transmits position, motion vector and identification signals of a vessel to other ships and VTS (Vessel Traffic Services) centers . This system significantly increases the possibility to detect small crafts. The paper presents results of comparative study of using information from the Automatic Identification System and from radar to determine the accuracy of tracking the position and motion vector of ships in the Gulf of Gdansk. Possibilities and limitations of the AIS are also presented.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 3; 337-341
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classifying Ship Encounters to Monitor Traffic Safety on the North Sea from AIS Data
    Autorzy:
    Iperen, W. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/117580.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    AIS Data
    Automatic Identification System (AIS)
    North Sea
    Distance at Closest Point of Approach (DCPA)
    Time to Closest Point of Approach (TCPA)
    Classifying Ship Encounters
    Traffic Safety
    traffic
    Opis:
    In studies for the Dutch Ministry of Infrastructure and the Environment, MARIN has developed methods to classify ship encounters on the North Sea from AIS data. The methods use the Distance at Closest Point of Approach (DCPA), Time to Closest Point of Approach (TCPA), and an estimate of ship domains, to determine for each crossing, head-on, and overtaking encounter, whether these follow abnormal patterns. On august 1 2013, the route structure on the North Sea, was rearranged to improve safety and efficiency. The encounter classification methods were applied to two years of AIS data. Heat maps of encounters show how the junctions have shifted. For these junctions, the numbers of encounters were compared. This paper discusses the methods to classify encounters, and the results of the comparison of the route structures. The results show a decrease of the number of exceptional head-on and crossing encounters in the new route structure.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 51-58
    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
      Wyświetlanie 1-5 z 5

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