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Possible Method of Clearing-up the Close-quarter Situation of Ships by Means of Automatic Identification System

Bukaty V. M., Morozova S. U.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2010

Vol. 4, no. 3

309--313

The tonic discussed is an non-traditional approach to the earliest possible clearing up of the head-on situation, consisting in defining the time of simultaneous approach to same latitudes and longitudes, bearing in mind that the information about the ships' movement was received by means of Automatic Identification System. If the time the ships proceed to these latitudes and longitudes is the same the collision of the ships is unavoidable and by the time identified the head-on situation is immediately indicated. If the time is different the ships will not be able to reach the same point and the collision will be avoided. The attempts have been also made to evaluate the minimal admitted inequality of time when the ships' safe passage without maneuvering is considered possible. This method is rather attractive because it does not require any additional measurements and it is not neces-sary to attract the Officer-in-Charge away from his main responsibility – to control the situation round the ship.

Computer Vision and Ship Traffic Analysis: Inferring Maneuver Patterns From the Automatic Identification System

Moan T., Aarsæther K.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2010

Vol. 4, no. 3

303--308

The Automatic Identification System has proven itself as a valuable source for ship traffic information. Its introduction has reversed the previous situation with scarcity of precise data from ship traffic and has instead posed the reverse challenge of coping with an overabundance of data. The number of time series available for ship manoeuvring analysis has increased from tens, or hundreds, to several thousands. Sifting through this data manually, either to find the salient features of traffic, or to provide statistical distribu-tions of decision variables is an extremely time consuming procedure. In this paper we present the results of applying computer vision techniques to this problem and show how it is possible to automatically separate AIS data in order to obtain traffic statistics and prevailing features down to the scale of individual manoeuvres and how this procedure enables the production of a simplified model of ship traffic.

Sustainability of Motorways of the Sea and Fast Ships

Martinez F. X., Castells M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2009

Vol. 3, no. 1

51--54

The European transport policy undertakes to enhance sustainability in transport in order to boost economic activities in the whole EU. The reduction of pollutant emissions and a better balance among modes of transportation to cut road congestion are the pillars of the above policy. These factors are encouraging public and private stakeholders to use the freight maritime alternative more extensively. Short sea shipping is considered the quickest way to reach sustainability. Another advantage of ships over trucks and trains is that vessels consume less fuel as a result of the relatively low speeds at which they travel. However, increasingly faster ships are in a position to compete with trucks, but the former’s greater power demand and consumption rate result in higher pollutant emission levels which, in turn, lead to the loss of their environmental advantage over road transport. This problem is analyzed below.