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Elektronika 2009-11.pdf - Instytut Systemów Elektronicznych

Elektronika 2009-11.pdf - Instytut Systemów Elektronicznych

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nerations has almost always been reached, and occasionally<br />

improvements have been registered until the last generation,<br />

suggesting that the final solution is sub-optimal. However,<br />

adding more generations did not improve the final solution<br />

considerably and the solution found originally was always<br />

close enough to be accepted.<br />

Summary and conclusions<br />

The method, described here, is a generalization of evolutionary<br />

trajectory determining. A set of trajectories of all ships, instead<br />

of just the own trajectory, is determined. The method<br />

avoids violating ship domains and stationary constraints, while<br />

minimizing way loss and obeying COLREGS. Because of its<br />

low computational time, it can be applied to ARPA (Automatic<br />

Radar Plotting Aids) systems as well as VTS (Vessel Traffic<br />

Service) systems. In case of simple scenarios (where ship<br />

priorities are clearly described by COLREGS), the method is<br />

able to predict the probable manoeuvres of targets and plan<br />

own ship manoeuvre in advance. In the most complex cases,<br />

with a high density of ships and obstacles, it can be impossible<br />

to predict behaviour of all targets correctly and thus - to fully<br />

take advantage of the method. However, the method could<br />

still be used in ARPA systems to predict at least the tendencies<br />

of the targets manoeuvres (manoeuvres to starboard, to<br />

port board or lack of manoeuvres). And - it could be fully utilized<br />

by VTS systems to plan sets of cooperating ship trajectories<br />

in harbour areas. In the latter case it could successfully<br />

solve any given scenario involving multiple ships and stationary<br />

constraints.<br />

References<br />

[1] Szłapczyński R.: Evolutionary Approach to solving multi-ship encounter<br />

situations. Polish Journal of Environmental Studies,<br />

2008, vol. 4C.<br />

[2] Lisowski J.: Dynamic games methods in navigator decision support<br />

system for safety navigation. Proceedings of the European<br />

Safety and Reliability Conference vol. 2, pp. 1285-1292, 2005.<br />

[3] Śmierzchalski R.: Synteza metod i algorytmów wspomagania decyzji<br />

nawigatora w sytuacji kolizyjnej na morzu. Prace Naukowe<br />

Wyższej Szkoły Morskiej w Gdyni, 1998.<br />

[4] Davis P. V., Dove M. J., Stockel C. T. (1982). A Computer Simulation<br />

of multi-Ship Encounters. The Journal of Navigation, 35,<br />

347-352.<br />

[5] Coldwell T. G.: Marine Traffic Behaviour in restricted Waters.<br />

Journal of Navigation, issue 36, pp. 431-444, 1982.<br />

[6] Cockroft A. N., Lameijer J. N. F.: A Guide to Collision Avoidance<br />

Rules. Butterworth-Heinemann Ltd., 1993.<br />

[7] Szłapczyński R.: A unified measure of collision risk derived from<br />

the concept of a ship domain. Journal of Navigation, 59, issue 3,<br />

2006.<br />

[8] Szłapczyński R.: A new method of ship routing on raster grids,<br />

with turn penalties and collision avoidance. Journal of Navigation,<br />

59, issue 1, 2006.<br />

[9] Szłapczyński R.: A new method of planning collision avoidance<br />

manoeuvres for multi target encounter situations. Journal of Navigation,<br />

61, issue 2, 2008.<br />

The role of fuzzy modeling in creation of knowledge<br />

base’s for intelligent decision’s support systems<br />

in the conditions of the dangerous<br />

hydrometeorological phenomenon threat<br />

(Rola modelowania rozmytego w kształtowaniu baz wiedzy dla<br />

inteligentnych systemów wspomagania decyzji w warunkach zagrożenia<br />

niebezpiecznym zjawiskiem natury)<br />

dr inż. TATIANA TRETYAKOVA<br />

West Pomeranien University of Technology, Szczecin<br />

The hydrometeorological information is one of many types of<br />

information used in the decision of a different sort of problems<br />

issues. It is well known, that this type of information should be<br />

used to avoid or reduction of the negative consequences connected<br />

to influence of hydrometeorological factors on functioning<br />

of economic objects (industrial, service, social and<br />

cultural). The probable variant of a chain of the consequences<br />

connected to influence of hydrometeorological factors on economic<br />

object, could be presented as follows: influence of the<br />

dangerous hydrometeorological phenomenon → damage of<br />

subsystems of the economic object → abnormality of functioning<br />

of the object → negative influence on the ecological<br />

environment and people’s health → the damage connected<br />

to loss of productive capacity → an expense, connected to repair<br />

of object, and also with victims treatment or with loss of<br />

life → partners loss →..., etc.<br />

It shall be noticed, that this chain could be changed depending<br />

on force of the natural phenomenon and types of economic<br />

objects. In any case taking into account the hydrometeorological<br />

information it should be considered decreasing of possible loss.<br />

The decision making having this information is carrying out more<br />

often in situations when consequences of the accepted decisions<br />

are not known to the end. Frequently, the hydrometeorological information<br />

appears incomplete and imprecise. By virtue of uniqueness<br />

of the natural phenomena it is not always possible to<br />

foresee a degree of influence of hydrometeorological factors on<br />

economic objects in conditions of particular region.<br />

For this reason the clear algorithm of a reaction to the<br />

choice strategy with this type of information does not exist up<br />

to the end of the process. In such cases the use of the intelligent<br />

computer systems, which take into account the hydrometeorological<br />

information in acceptance of decisions, is rather<br />

18 ELEKTRONIKA 11/<strong>2009</strong>

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