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Wyszukujesz frazę "traffic time" wg kryterium: Temat


Wyświetlanie 1-2 z 2
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:
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
    Wyświetlanie 1-2 z 2

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