Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "traffic data" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-8 z 8
    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:
    Maritime Traffic Situations in Bornholmsgat
    Autorzy:
    Olindersson, F.
    Janson, C. E.
    Dahlmann, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/116033.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Maritime Traffic
    Baltic Sea
    Bornholmsgat
    COLREGs
    AIS Data
    Automatic Identification System (AIS)
    Collision Avoidance
    Traffic Separation Scheme (TSS)
    Opis:
    Maritime traffic situations is regulated in the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs), but how well are these rules followed by officers on board vessels? When the world shipping fleet grow and the traffic becomes more intensive, the risk of collision increase. By analysing AIS data from vessels in the traffic separation scheme Bornholmsgat during 24 hours in December 2013, 421 traffic situations were found where the passing distance between the vessels were less than 1.5 nautical miles. The compliance with the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) seems to be good, but the average avoiding action is less than the recommended manoeuver.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 115-120
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of a multiple regression model to determine the parameters of vessel traffic flow in port areas
    Autorzy:
    Nowy, A.
    Gucma, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/117457.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    maritime traffic engineering
    vessel traffic flow
    port areas
    multiple regression model
    fairway
    fairway parameters
    Automatic Identification System (AIS)
    AIS Data
    Opis:
    The paper presents the method of determining ships traffic stream parameters by means of regression method. The aim of the studies was to determine the correlation between the ship's parameters and the parameters of the fairway. Developing the presented model with information on the position of the vessel's antenna and information on the accuracy of position determination will allow creating a model for predicting the parameters of waterways.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 443-449
    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:
    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:
    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:
    AIS based shipping routes using the dijkstra algorithm
    Autorzy:
    Silveira, P.
    Teixeira, A. P.
    Guedes-Soares, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/116029.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Dijkstra’s Algorithm
    AIS Data
    Automatic Identification System (AIS)
    AIS based shipping routes
    shipping routes
    Vessel Traffic Service (VTS)
    port of Setubal
    Ro-Ro Terminal
    Opis:
    This paper proposes an approach for identifying and characterizing shipping routes using information contained in Automatic Identification System messages broadcasted by ships and recorded by the coastal Vessel Traffic Service centre. The approach consists of using historical Automatic Identification System data to build a graph, where nodes are cells of a grid covering the geographical area being studied and the weights of directional edges are inversely related to ship movements between cells. Based on this graph, the Dijkstra algorithm is used to identify a potential safe route, assumed to be the most used route by ships between two locations. A second graph is created simultaneously, with the same nodes and edges, but with edge weights equal to the average speed of transitions between cells, thus allowing the determination of the average speed profile for any possible path within the graph. The proposed approach is applied to two scenarios: an approach to the port of Lisbon and the entry through the fairway to a RO-RO terminal in the port of Setubal in Portugal.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 565-571
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Method foranalyzing AIS data and determination of simultaneously ships passage via strait of split
    Autorzy:
    Bukljaš, M.
    Vukša, S.
    Pavić, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/116084.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Automatic Identification System (AIS)
    AIS Data
    strait of split
    ships passage
    AIS Decoder
    simultaneous ship passage
    Vessel Traffic Service (VTS)
    International Waterway Risk Assessment Program (IWRAP)
    Opis:
    The traffic density is a basic characteristic of marine traffic for some navigational area. In the case of narrow channels such as Strait of Split (Splitska vrata), apart from the traffic density, the number of simultaneous ship passages is also important as well as ships characteristics. Based on such data, additional navigational safety guidelines and regulations may be planned for the observed area. The purpose of this research is to determine the number of simultaneous ship passages via Strait of Split for a certain period of time. Collected AIS data in SPNMEA format was decoded by AIS Decoder online program to csv file. For five randomly selected days in the summer period, based on AIS data, the number of simultaneous ship passages was determined and ships information presented.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 4; 679-684
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies