AtlantOS and BigDataOcean join forces and produce a comparative study of AIS tracks and VISIR ship routing model

Over recent months, members of the H-2020 AtlantOS project collaborated with members of the BigDataOcean consortium. Their common interest is in the field of vessel route optimization and specifically in identifying optimal ship tracks using AIS data. The main focus of this collaboration was on defining and analyzing optimal shipping routes accounting for marine weather conditions.

The study is focused on itineraries of bulk carrier vessels that sailed over the Southern Atlantic Ocean, during 2016-2017. Ocean state analysis data retrieved from the Copernicus Marine Environment Monitoring System are fusioned with kinematic information retrieved from AIS data to reproduce vessel speed loss in waves and compute optimal ship tracks via the VISIR routing model.

A first result of this analysis will appear in the scientific paper entitled “Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks”. This publication will be presented at the 13th International Conference on Marine Navigation and Safety of Sea Transportation (TransNav 2019) to be held next June 12-14 in Gdynia, Poland.

Route departing from Buenos Aires (Argentina) arriving in Port Elizabeth (South Africa). a) displays AIS tracks, while b) shows VISIR related simulations departing on the same dates. The 3-digit codes identify selected voyages, which are displayed as coloured dashed lines.

In this joint work by CMCC and members of the BigDataOcean consortium, ship tracks computed through the VISIR model are analysed along with AIS tracks in terms of their topological features and duration. The tracks exhibit quite diverse topological shapes, including orthodromic, loxodromic, and other paths with complex and dynamic diversions. The distribution of AIS to VISIR track durations has been analyzed in terms of several parameters, such as the AIS to VISIR track length ratio and their Fréchet distance. The preliminary results are promising, suggesting that additional track statistics and analysis of routes from other parts of the global ocean would unveil a variety of routing optimization choices for the vessels.
Data fusion of AIS and meteo-oceanographic fields is mentioned as an emerging tendency in maritime science in the foreword to the Proceedings of the Maritime Big Data Workshop 2018.

About AtlantOS
AtlantOS is a 4-year Research and Innovation Action (RIA) funded under H2020 program. AtlantOS consortium consists of 62 partners, from across the Atlantic Ocean. AtlantOS vision, is to improve and innovate Atlantic observing by using the Framework of Ocean Observing to obtain an international, more sustainable, more efficient, more integrated, and fit-for-purpose system. Hence, the AtlantOS initiative will have a long-lasting and sustainable contribution to the societal, economic and scientific benefit arising from this integrated approach. This will be delivered by improving the value for money, extent, completeness, quality and ease of access to Atlantic Ocean data required by industries, product supplying agencies, scientist and citizens.

About BigDataOcean
BigDataOcean is an EU-funded project that received funding under H2020 program. It is an Innovation Action led by NTUA with 10 partners. BigDataOcean aims to provide a maritime big data services marketplace that combines cross-domain data of different velocity, variety and volume. The vision of the project is to capitalize on modern technological innovations, utilizing them to revolutionize the way maritime-related industries work. BDO proposes and validates multiple maritime big data scenarios for the benefit of EU-based companies, organisations and scientists. This is achieved through a multi-segmented platform that combines data of diverse data sources in an inter-linked, trusted, multilingual system, producing a big-data repository of high value and veracity for project participants and local communities.

Paper Reference
Mannarini G., Carelli L., Zissis, Spiliopoulos G., Chatzikokolakis, N.: Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2019, accepted, available in preprint on Zenodo

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