<abstract xmlns="http://www.w3.org/1999/xhtml"><p>With the continuous increase of international oil prices, more and more shipping companies look for new solutions to the ever present question: How to reduce operational fuel consumption and decrease air pollution. Ship route planning is an indispensable part of the ship navigation process. In the modern world, the passage planning aspect of navigation is shifting. No longer do we see mariners drawing course lines on a paper chart. No longer do they calculate distances with compasses. Elaborate algorithms on various digital devices perform all these tasks. Algorithms plot the optimum tracks on digital charts and algorithms can decide how to avoid collision situations. Nowadays charter companies do not rely solely on the experienced navigators on board their vessels to decide the best route. Instead, this task is outsourced ashore to routing and weather-routing enterprises. The algorithms used by those enterprises are continuously evolving and getting better and better. They are coming popular because of another reason – more and more the shipping society support the newly idea for using crewless ships. However, are they up to the task to eliminate the human element in passage planning? In this article, we are going to review some of the weak points of the algorithms in use.</p></abstract>

With the continuous increase of international oil prices, more and more shipping companies look for new solutions to the ever present question: How to reduce operational fuel consumption and decrease air pollution. Ship route planning is an indispensable part of the ship navigation process. In the modern world, the passage planning aspect of navigation is shifting. No longer do we see mariners drawing course lines on a paper chart. No longer do they calculate distances with compasses. Elaborate algorithms on various digital devices perform all these tasks. Algorithms plot the optimum tracks on digital charts and algorithms can decide how to avoid collision situations. Nowadays charter companies do not rely solely on the experienced navigators on board their vessels to decide the best route. Instead, this task is outsourced ashore to routing and weather-routing enterprises. The algorithms used by those enterprises are continuously evolving and getting better and better. They are coming popular because of another reason – more and more the shipping society support the newly idea for using crewless ships. However, are they up to the task to eliminate the human element in passage planning? In this article, we are going to review some of the weak points of the algorithms in use.

Application of Information Technologies and Algorithms in Ship Passage Planning

Nikola Vaptsarov Naval Academy, Faculty of Navigation

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Application of Information Technologies and Algorithms in Ship Passage Planning"}

With the continuous increase of international oil prices, more and more shipping companies look for new solutions to the ever present question: How to reduce...

Application of Information Technologies and Algorithms in Ship Passage Planning

Published Online: Mar 29, 2019

Page range: 190 - 200

Received: Apr 24, 2018

Accepted: Dec 10, 2018

DOI: https://doi.org/10.2478/cait-2019-0011

Keywords
Information technologies in shipping, cybernetic decisions, evolutionary algorithm, safety of navigation

© 2019 Blagovest Belev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of Information Technologies and Algorithms in Ship Passage Planning

Published Online: Mar 29, 2019

Page range: 190 - 200

Received: Apr 24, 2018

Accepted: Dec 10, 2018

DOI: https://doi.org/10.2478/cait-2019-0011

KeywordsInformation technologies in shipping, cybernetic decisions, evolutionary algorithm, safety of navigation

© 2019 Blagovest Belev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Information technologies in shipping, cybernetic decisions, evolutionary algorithm, safety of navigation