Marine Transport Services

This service will develop improved ocean current forecasts for naval purposes, enabling a dynamic optimization of shipping routes to improve efficiency and reduce fuel consumption

The following presentation on this service was given at the MELODIES: Exploiting Open Data conference in October 2016. Slides are available here.

Service Q&A

Who are the target users of this service?

Harbour authorities, shipping logistics service providers, ship owners.

How will these users access this service?

Via a dedicated web portal. The portal will provide information on number of ships, these will be listed for the user.

What products does this service provide?

The basic product is the arrival time of a given ship at various given offshore locations, as well as an indication of the reliability of this estimate. The estimates will be updated every three hours. Optionally, forecasted wind/wave conditions during the trip can also be provided.

How will these products benefit users?

These products will help in planning the use of harbour space for incoming ships and in optimising the logistics of trans-shipment processes. Ships will be able to reschedule time slots in harbours further in advance, if necessary. Increased confidence in the planned arrival time may also lead to a more fuel efficient trip.

Which Open Data sources drive this service?

Global wind from NOAA
Global waves from NOAA
EU waves from USGODAE
EU currents from Copernicus MyOcean
Ship AIS data

What processing is performed on this data?

AIS data: quality control (filtering), analysis of past data to assess ship performance parameters

Wind, wave and current data: extraction along the ship route as input for the ship performance analysis and to forecast the ship's speed over ground.

How does this service use Linked Open Data?

We aim to publish our products as Linked Open Data.

Our biggest challenges so far...

... have been in the treatment of the AIS data, we have encountered exceptions and unexpected behaviour. Our solution to this for now is to subject this data to extensive filtering.