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Wyszukujesz frazę "Iperen, W. H." wg kryterium: Autor


Wyświetlanie 1-2 z 2
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:
Unmanned ship simulation with real-time dynamic risk index
Autorzy:
Brake, M. C. ter
Iperen, E. (W. H.) van
Looije, D.
Koldenhof, Y.
Powiązania:
https://bibliotekanauki.pl/articles/135142.pdf
Data publikacji:
2015
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
autonomous ship
ship domain
simulation
dynamic risk
real-time
risk
Opis:
Currently there is growing interest in unmanned shipping. In the case of unmanned ‘autonomous’ shipping, navigation is automated by on-board decision-making systems. Important motives for unmanned ships include the shortage of skilled mariners, the facilitation of slow steaming strategies, efficiency improvements in confined shipping areas, and increased safety. The aim of the present research is to simulate an unmanned ship through an Automatic Identification System (AIS) based traffic situation. In order to do this, the Maritime Research Institute Netherlands (MARIN) will use the existing simulation technology Dolphin, implement a new tool to read AIS data, simulate a large amount of ships, and develop an auto-captain. The real-time dynamic risk index developed by MARIN will be integrated in Dolphin, to monitor nautical safety of all ships with focus on the unmanned ship. The simulated unmanned ship will navigate according to the International Regulations for Preventing Collisions at Sea (COLREGS). In more complex situations, the auto-captain may use a dedicated decision support tool to find a more efficient solution to pass safely. This approach will be analysed using the real-time dynamic risk index, which will be updated based on latest insights. This paper will discuss the latest development and plans in the unmanned ship simulation project.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 43 (115); 48-54
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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