Meteorological Risk Assessment Based on Fuzzy Logic Systems for Maritime
- 30 June 2022
- journal article
- research article
- Published by Galenos Yayinevi in Journal of ETA Maritime Science
- Vol. 10 (2), 97-107
- https://doi.org/10.4274/jems.2022.65668
Abstract
In recent years, numerous casualties have been associated with a lack of safe navigation of ships. Despite advanced navigation systems and the implementation of safety management systems onboard ships, maritime safety is still one of the major concerns for the shipping industry. This research proposes a proactive modeling approach that utilizes Fuzzy Logic and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). The model primarily provides continuous meteorological risk assessment for ships to improve marine navigational safety. In the study, Wind Speed, Sea Conditions, Visibility, and Day/Night Ratio are converted to meteorological risk factors using meteorological risk assessment system. Supported by ANFIS, the meteorological risk assessment system has demonstrated that the database contains details of over 180 marine casualty information involving navigation and traffic accidents. The results emphasize that environmental factors, as well as the Day/Night Ratio, significantly influence ship navigational safety. Hence, a meteorological risk assessment system can enhance navigational safety and prevent loss of life in the shipping industry. As a result, a meteorological risk assessment framework has enormous potential for preventing accidents and improving the safety and sustainability of the shipping industry. In this regard, the proposed model is a one-of-a-kind framework that will be extremely useful for mitigating and preventing the effects of maritime accidents.Keywords
This publication has 26 references indexed in Scilit:
- Towards the assessment of potential impact of unmanned vessels on maritime transportation safetyReliability Engineering & System Safety, 2017
- The role of the International Maritime Organization in reducing vessel threat to whales: Process, options, action and effectivenessMarine Policy, 2012
- Combined forecasts in portfolio optimization: A generalized approachComputers & Operations Research, 2012
- A decision-making system to maritime risk assessmentOcean Engineering, 2011
- MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factorOcean Engineering, 2009
- Formal safety assessment based on relative risks model in ship navigationReliability Engineering & System Safety, 2007
- A Fuzzy Logic Method for Collision Avoidance in Vessel Traffic ServiceJournal of Navigation, 2006
- Towards the identification of warning criteria: Analysis of a ship accident databaseApplied Ocean Research, 2005
- Fuzzy logicComputer, 1988
- An experiment in linguistic synthesis with a fuzzy logic controllerInternational Journal of Man-Machine Studies, 1975