Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes - Publication - Bridge of Knowledge

Search

Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes

Abstract

In the previous paper the author presented the evolutionary ship trajectory planning method designed to support Traffic Separation Schemes (TSS). This time the extensions of this method are described which allow to combine evolutionary trajectory planning with speed reduction manoeuvres. On TSS regions with higher than usual density of traffic and smaller distances between ships, the course alterations alone are not always sufficient or effective means of collision avoidance. Therefore they must be supplemented by speed reduction manoeuvres to a larger extent than on open waters. The paper includes a brief description of the optimisation problem, descriptions of the new elements of the method (fitness function, algorithms and the evolutionary cycle) and the examples of how the extended method successfully solves the problems unsolvable without applying speed reduction.

Citations

  • 5

    CrossRef

  • 0

    Web of Science

  • 1 1

    Scopus

Cite as

Full text

download paper
downloaded 9 times
Publication version
Accepted or Published Version
DOI:
Digital Object Identifier (open in new tab) 10.2478/pomr-2014-0004
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Polish Maritime Research no. 21, edition 1, pages 20 - 27,
ISSN: 1233-2585
Language:
English
Publication year:
2014
Bibliographic description:
Szłapczyński R.: Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes// Polish Maritime Research. -Vol. 21, iss. 1 (2014), s.20-27
DOI:
Digital Object Identifier (open in new tab) 10.2478/pomr-2014-0004
Verified by:
Gdańsk University of Technology

seen 68 times

Recommended for you

Meta Tags