Open AccessTowards Improving Optimised Ship Weather Routing
Author(s) -
Roberto Vettor,
Joanna Szłapczyńska,
Rafał Szłapczyński,
Wojciech Tycholiz,
C. Guedes Soares
Publication year - 2020
Publication title -
polish maritime research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 21
eISSN - 2083-7429
pISSN - 1233-2585
DOI - 10.2478/pomr-2020-0007
Subject(s) - computer science , operations research , decision support system , data assimilation , chart , routing (electronic design automation) , term (time) , marine engineering , real time computing , meteorology , systems engineering , environmental science , industrial engineering , engineering , data mining , embedded system , geography , statistics , physics , mathematics , quantum mechanics
The aim of the paper is to outline a project focussing on the development of a new type of ship weather routing solution with improved uncertainty handling, through better estimation of ship performance and responses to sea conditions. Ensemble forecasting is considered to take into account the uncertainty levels that are typical of operations in a stochastic environment. Increased accuracy of weather prediction is achieved through the assimilation of real-time data, measured by an on-board monitoring system. The proposed system will allow smooth integration of short-term Decision Support Systems for ship handling in dangerous or peculiar situations with long-term Decision Support Systems for weather routing. An appropriate user interface is also a critical part of the project and it will be implemented in a commercial Electronic Nautical Chart environment. A prototype of the full system will be installed and tested on a commercial vessel in regular operations and under real environmental conditions.