This doctoral thesis provides a systematic overview of the possibilities of a more
effective sea navigation monitoring in terms of safety of navigation, and environment
protection needed due to the increase in the number and size of ships. On the basis of the
results gained by the undertaken research, a model of early danger detection has been
defined in order to contribute to the effectiveness of the Vessel Traffic Service. The
fundamental postulate of the model is based on a separate ship voyage monitoring in the
monitored area, with respect to the ship’s interaction with the environment (grounding),
as well as to the mutual interaction of all the vessels in the system (collision).
With the help of the knowledge from the existing Vessel Traffic Services, expert
and scientific literature analysis, surveys performed on VTS operators, and navigation
simulator research, the possibilities of drawing up a model of early danger detection
have been discovered.
For the first time, the model facilitates danger estimation and determines the
possibility of an accident beforehand by determining the ship's position, and predicting its
position as well as the positions of other ships in the future by the principle of 2D
(geographic coordinates) + D (time). By comparing the data of each ship with the entire
data base regarding the waterway and sea traffic conditions, potential threats to the safety
of navigation and the environment are detected in advance. In the proposed model of early
danger detection, the ship's domain is defined as a circle around the ship, and it can be used
to define three kinds of domain violations of the monitored ship (there is a violation and it
is defined by the time of the entering and exiting the domain, the borderline case of domain
violation, and there is no domain violation of the monitored ship).
For reason of ship's position prediction in space, a ship's speed prediction model
has been developed. A navigation simulator was used to simulate the effects of external
hydrometeorological elements (wind velocity, wave height, sea current and the course of
the elements) on the speed of the monitored ships, while a neural network was used for
the making of the model.

/pdf/model-ranog-otkrivanja-opasnosti-doprinos-ucinkovitosti-50t1ygiucf.pdf

Model ranog otkrivanja opasnosti - doprinos učinkovitosti sustava nadzora i upravljanja pomorskim prometom

Modeling Manned Traffic Systems.

A model of the total vessel traffic control process that includes the functioning of the human operator (HO) is presented. The vessel traffic services (VTSs) are modeled in their possible role of monitor, conflict detector, and advisor for the total vessel traffic system. The model assumes a number of ships, with a given planned route, in a given confined area. The navigation of each ship is based on a planned route, which is updated by information about the visual scene, instruments, and the VTS. Both normal operation and collision avoidance are modeled. The model is implemented in a C program. Typical traffic situations have been simulated to showing the ability of the model to address realistic vessel traffic scenarios. The model can answer questions related to safety and efficiency, the effect of HO functioning, information necessary to perform tasks, communication between ships and VTS, the optimization of procedures, automation of the total vessel traffic process, etc. >

/pdf/a-model-of-the-vessel-traffic-process-2522zs1kj9.pdf

M. Hoogland

Papers

A model of the vessel traffic process