Automatic Identification System

Automatic Identification Systems (AIS) were introduced for vessel traffic control and represent a ship-based broadcast system operating in the VHF maritime band. Apart from ship-to-ship and ship-to-shore AIS systems there are airborne AIS transponders that make dynamic vessel information available to airborne surveillance platforms. Examples of information provided by airborne AIS are time, position, heading, course, speed, IMO number, destination, type of cargo and estimated time of arrival. This information is of general interest in airborne maritime surveillance, including search and rescue operation and oil spill monitoring. Especially the GIS integration of AIS information as well as its online visualisation onboard the surveillance aircraft are considered beneficial for oil spill response since it allows the identification of potential polluters. 

One of the most important elements of presented navigational safety system is navigational incident analysis method. The model of incidents is completely independent form ship and is based on external monitoring by AIS (Automatic Identification System). It is assumed that there is no possibility to build detailed eausation model of incident by such monitoring system. 

ABSTRACT In this paper we introduce a method for the assessment of the complexity of ship-ship encounters, linked with the risk level of such encounters. The method combines traffic data obtained from the Automatic Identification System and experts judgment. The collected data describes maritime traffic over the Northern Baltic Sea, including the Gulf of Finland, which is potentially one of the most heavily trafficked sea areas in the world. 

In this chapter, the methodological framework is provided for the developed model, which detects and ranks the complexity of ship-ship encounters. First, the available micro-level ship traffic data, as obtained from the Automatic Identification System (AIS), is outlined. Subsequently, the process and outcome of an expert elicitation related to the development of a quantitative Risk Indicator (I). The latter is a measure of risk in the sea area, based on detection of vessels encounters and their complexity. Then, the mathematical formulation of the indicator is presented, both in regards to the model structure and model parameters. Finally, the obtained results need to be clustered to arrive at qualitative Risk Indicator. Thus, the purpose and rationale of the applied clustering technique is outlined. 

The method applies experts judgment together with micro-level ship traffic data obtained from the Automatic Identification System corresponding to the Northern Baltic Sea and summer season (Many, July 2011). 

The third chapter deals with Automatic Identification System AIS problems. The contents of the third chapter are partitioned into five subchapters an analysis of ship behaviour induced... 

Automatic Identification System (AIS) Activities in Navigation - Marine Navigation and Safety of Sea Transportation-A. Weintrit (ed.)... 

ABSTRACT Class B AIS is used for vessels not equipped with an Automatic Identification System (AIS). In addition to the difference in transmission systems and transmission output between Class A and Class B, the transmission interval for Class B has only two patterns. Because there is not much Distance of Closest Point of Approach (DCPA) between fishing boat and other vessels in congested area, it is important to understand the relationship between speed and displacement of fishing boats for which transmission interval is determined. 

This paper is organized as follows. The following section describes the application of AIS (automatic identification system) data to an analysis of actual ship operations. Section 3 and Section 4 describe traffic flow and the operations of container ships in the Seto Inland Sea using the extracted ship data and based on examples of the real movements of container ships. 

Input data to the algorithm are registered with the use of an Automatic Radar Plotting Aid (ARPA) and an Automatic Identification System (AIS). These information include the course and the speed of every ship, and the distances and hearings of the target ships from the own ship. For situations in restricted waters information concerning shoals, shorelines and other static obstacles are coUected from the Electronic Chart Display and Information... 

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