Increased accessibility/availability and reduced climate impact using improved maritime analyses
The research project MARIA – MARItime Analyses aims to identify, develop, test and make available improved maritime data analysis methods and tools, to ultimately help reduce shipping accidents, the environmental footprint, and maritime infrastructure costs (construction and maintenance), especially for the region of Öresund-Kattegat-Skagerrak (ÖKS) where the largest northern port is located, the port of Gothenburg. The intent is to increase the accessibility/availability of shipping compared to road-based transport of goods, for reduced road congestion and noise.
- 2 partners, SSPA Sweden and the Danish Maritime Authority
- 2 countries, Sweden and Denmark
- Financed by the European Regional Development Fund, Interreg, Öresund-Kattegat-Skagerrak
- Starting in 2017 and running until January 2020
In order to achieve these objectives, interregional collaboration across the ÖKS area will take place through joint activities divided into three project work packages and through dissemination of respective results:
WP1 – Ship traffic patterns
- WT1a – Analysing ship behaviour
- WT1b – Modelling ship behaviour
- WT1c – Generating/predicting ship behaviour
WP2 – Maritime analysis methods
- WT2a – Risk analysis
- WT2b – Environmental analysis
WP3 – Maritime analysis for the ÖKS region
- WT3a – Environmental and risk analysis of new route planning in Kattegat-Skagerrak
- WT3b – Risk analysis of bridge structure concepts
The data analysis methods and tools include storing and assessing seakeeping (hull conditions, wave resistance), modelling and generating realistic sea traffic patterns and ship behaviours, i.e., the ability of vessels to manoeuvre in different geographical areas and conditions. This data will then be used to develop different scenarios and suggest e.g. optimized ship routes that can help to avoid collisions and save fuel, suggest types of infrastructures (e.g. bridges) that can better sustain a potential collision from a ship, hence increasing safety and reducing the environmental impact, provide training simulator tools, etc.
These analyses are based on data (some stored in SSPA databases) such as:
- AIS transponder (mandatory on all merchant ships) data about ship voyages
- Geographic data
- Hydrodynamic and weather data
These data models will allow to make predictions about the effects of certain changes made to routes, infrastructures or traffic patterns, and provide decision support.