Prototype of a knowledge-based temporal GIS for the concurrent monitoring of ships.

Project students:
Enseigne de vaisseau Frédéric Barbe
Enseigne de vaisseau François Gélébart

Project placement:
Intelligent Simulation and Modelling Research Group (Prof. A Bargiela)

Supervisors: Dr Claramunt, ISM-NTU and Dr Degogele French Navy College



This project integrates different analysis and development tasks that together supports the implementation of the MAGELLAN prototype. First, a conceptual database model has been designed. This conceptual analysis takes into account geographical and dynamic properties related to the maritime domain:

The Brest region (France) basic numeric map.

The data integration process is based on data provided by the 'Service Hydrographique et Océanographique de la Marine'. This data has been integrated within an existing GIS software (Arcview). This maritime data is related to two different test regions that support the development of a realistic demonstration. The structure of these data has been adapted to our specific purpose, particularly by the calculation of Thiessen polygons.

Thiessen polygons applied on the Brest region (France) map.

An important property of Magellan is the management of dynamical data, which has been performed thanks to adequate logical and physical database models. Finally, the implementation of the system fulfils four major specifications:

The final prototype can be considered as an extension of an existing GIS, that simulates ships routes in relation with both geographic and dynamic data. This system calculates an expected future situation from initial conditions. Our project demonstrates the potential of GIS for prescriptive systems in maritime domain.

A simulation of 15 min that deals with 3 ships in the region of Brest.

Several future improvements of Magellan can be suggested. One interesting development is the integration of a process of GPS an Radar data acquisition, which will allow the display of real-time data and the simulation of ships displacements from real situations. The realism of the simulation can also be increased by allowing the user to define additional ships routes. As such, the user knowledge of the situation can be taken in account. Another future development is the adaptation of the interface to the learning of anti-collision manœuvres by integrating a visual comparison between real and relative routes and by allowing users to analyse the impact of their manœuvres.



Last update: 5/10/99