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Author
Krispijn Scholte
;
Leon J.M. Rothkrantz
Title
Personal warning system for vessels under bad weather conditions
Type
Conference Article
Year
2014
Publication
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2014
Volume
Issue
Pages
359-368
Keywords
Alarm systems
;
Automation
;
Information systems
;
Meteorology
;
Waterway transportation
;
Weather forecasting
;
Automatic identification system
;
Bayesian reasoning
;
Context sensitive
;
Early Warning System
;
Maritime surveillance
;
Ships
Abstract
Many services provide weather forecasts, including severe weather alerts for the marine. It proves that many ships neglect the warnings because they expect to be able to handle the bad weather conditions. In order to identify possible unsafe situations the Coast Guard needs to observe marine vessel traffic 24 hours, 7 days a week. In this paper we propose a system that is able to support the Coast Guard. Ships can be localized and tracked individually using the Automatic Identification System (AIS). We present a system which is able to send a personal alert to ships expected to be in danger now or the near future. Ships will be monitored in the dangerous hours and routed to safe areas in the shortest time. The system is based on AIS data, probabilistic reasoning and expertise from the Coast Guard. A first prototype will be presented for open waters around the Netherlands.
Address
Staff Regulations at Royal Netherlands Navy, Netherlands; Delft University of Technology, Netherlands
Corporate Author
Thesis
Publisher
The Pennsylvania State University
Place of Publication
University Park, PA
Editor
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9780692211946
Medium
Track
Intelligent Systems
Expedition
Conference
11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
922
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