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Personal warning system for vessels under bad weather conditions
Krispijn Scholte
Leon J.M. Rothkrantz
S.R. Hiltz, M.S.P., L. Plotnick, and P.C. Shih.
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.
urn:ISBN:9780692211946
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Personal%20warning%20system%20for%20vessels%20under%20bad%20weather%20conditions&stitle=ISCRAM%202014&issn=2411-3387&isbn=9780692211946&date=2014&spage=359&epage=368&aulast=Krispijn%20Scholte&au=Leon%20J.M.%20Rothkrantz&pub=The%20Pennsylvania%20State%20University&place=University%20Park%2C%20PA&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=922
citekey:KrispijnScholte+LeonJ.M.Rothkrantz2014
citation:Krispijn Scholte, & Leon J.M. Rothkrantz. (2014). Personal warning system for vessels under bad weather conditions. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 359-368). University Park, PA: The Pennsylvania State University.
2014
ConferencePaper
text
Alarm systems
Automation
Information systems
Meteorology
Waterway transportation
Weather forecasting
Automatic identification system
Bayesian reasoning
Context sensitive
Early Warning System
Maritime surveillance
Ships
file:http://idl.iscram.org/files/scholte/2014/922_Scholte+Rothkrantz2014.pdf
The Pennsylvania State University
English
2411-3387
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
2014
359
368
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