DATA MODEL BASED APPROACH FOR GIS-BASED MARITIME SAFETY MONITORING

Presently, most electronic navigation charts (ENC) are vector format maps based on the S-57 data model. This model uses the descriptive and spatial characteristics of bodies of water to create hydrographic information which can be used to solve such problems as: marine traffic monitoring, vessel rou...

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Bibliographic Details
Published inInternational Multidisciplinary Scientific GeoConference SGEM Vol. 19; no. 2.2; pp. 783 - 790
Main Author Tsvetkov, Misha
Format Conference Proceeding
LanguageEnglish
Published Sofia Surveying Geology & Mining Ecology Management (SGEM) 01.01.2019
Subjects
Artificial intelligence
Data models
Decision making
Digital maps
Expert systems
Geographic information systems
Geographical information systems
Marine transportation
Maritime safety
Monitoring
Monitoring systems
Nautical charts
Navigation
Navigation systems
Ontology
Route planning
Safety
Satellite navigation systems
Sea vessels
Traffic planning
Arctic region
Baltic Sea
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Summary:Presently, most electronic navigation charts (ENC) are vector format maps based on the S-57 data model. This model uses the descriptive and spatial characteristics of bodies of water to create hydrographic information which can be used to solve such problems as: marine traffic monitoring, vessel route planning, maritime dangerous situation detection, etc. This paper presents an approach to maritime safety monitoring on the basis of intelligent GIS technology. GIS-oriented systems are often used for maritime safety monitoring and situation assessment; these systems allow to analyze, visualize received information and what is more to support organizational decision-making processes in case of emergencies. The S-57 data model, subject domain ontology, expert systems and various other artificial intelligence technologies and tools are proposed as necessary additions for system implementation. The application of this technique is illustrated via a case study of situational route assessment for safe navigation in the busy waters of the Baltic Sea.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:1314-2704
DOI:10.5593/sgem2019/2.2/S11.096