Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes

Rafał Szłapczyński

doi:10.1017/s0373463312000422

Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes

Abstract

The paper presents the continuation of the author's research on Evolutionary Sets of Safe Ship Trajectories (ESoSST) methodology. In an earlier paper (Szlapczynski, 2011) the author described the foundations of this methodology, which used Evolutionary Algorithms (EA) to search for an optimal set of safe trajectories for all the ships involved in an encounter. The methodology was originally designed for open waters or restricted waters when only the standard Convention on the International Regulations for Preventing Collisions at Sea (COLREGS, 1972) rules apply. However, within Traffic Separation Schemes (TSS), where additionally Rule 10 of COLREGS applies, the problem is much more complex and a new solution is needed. This paper introduces the extended ESoSST methodology, with a focus on changes that have to be made to obey Rule 10 and fully support TSS. These changes include detecting and penalizing TSS violations, as well as the pre-processing phase (generating theinitial population, which includes predefined TSS-compliant tracks). The methodology has been designed for possible application in Vessel Traffic Service (VTS) centres. Its new mechanisms are presented with details. The examples are included of the results of the computer simulation tests carried out for the Gulf of Gdansk TSS to illustrate the methodology's effectiveness and functional scope.

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Author (1)

Rafał Szłapczyński dr hab. inż.

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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: JOURNAL OF NAVIGATION no. 66, pages 65 - 81,
ISSN: 0373-4633
Language:: English
Publication year:: 2012
Bibliographic description:: Szłapczyński R.: Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes// JOURNAL OF NAVIGATION. -Vol. 66, nr. iss. 1 (2012), s.65-81
DOI:: Digital Object Identifier (open in new tab) 10.1017/s0373463312000422
Verified by:: Gdańsk University of Technology