Personal warning system for vessels under bad weather conditions

Personal warning system for vessels under bad weather conditions

Scholte, K.
Rothkrantz, L.J.M.

Electrical Engineering, Mathematics and Computer Science

Intelligent Systems

2014-05-18

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.

early warning systems
personal context sensitive alerts
maritime surveillance
Automatic Identification System
Bayesian reasoning

http://resolver.tudelft.nl/uuid:e1145e95-a7cd-4698-b3ae-ddf9bfbba805

The Pennsylvania State University

978-0-692-21194-6

ISCRAM 2014: Proceedings of the 11th International Conference on Information Systems for Crisis Response and Management Conference, Pennsylvania State University, USA, 18-21 May 2014

Institutional Repository

conference paper

(c) 2014 The Author(s)
CC Creative Commons