DocumentCode
3588886
Title
"Smart Ships": Mobile Applications, Cloud and Bigdata on Marine Traffic for Increased Safety and Optimized Costs Operations
Author
Garcia Dominguez, Alejandro
Author_Institution
Control Syst. - IBM & IEEE member, Seville, Spain
fYear
2014
Firstpage
303
Lastpage
308
Abstract
The increasing maritime traffic, due to worldwide trade, tends to increase the risk of wrecks, collisions and contacts between ships, producing sinking with high economical costs, major environmental impacts and unfortunately the loss of lives. There is continuous news in the media reporting about these issues. Governments, captains, vessel traffic centres, harbors, safety and rescue forces need better tools to prevent accidents, increase safety and optimize operational costs. In this review, current key technologies used on ships and shore stations are displayed and it is shown how new smart technologies on vessels and the use of big data and analytic tools could improve the safety of the sailors. Unmanned/Remote Pilot Ships are going to be introduced, too and finally the Sail tracker project, the initial development of a smart ship solution to upload and share information to the cloud to be used by cognitive and analytic tools.
Keywords
Big Data; accident prevention; cloud computing; costing; marine engineering; marine safety; mobile computing; ships; traffic engineering computing; Sail tracker project; accident prevention; analytic tools; big data; cloud; cognitive tool; cost operation optimisation; economical costs; environmental impacts; marine traffic; maritime traffic; media reporting; mobile applications; operational cost optimisation; remote pilot ship; sailor safety; shore stations; smart ships; unmanned pilot ship; Boats; Global Positioning System; Mobile communication; Safety; Satellite broadcasting; Satellites; AIS; DSC; GPS; Mobile AIS; NMEA; VSAT; analytics; bigdata; cloud; marine traffi; mobile application; remote pilot ships; smart ship; unmanned ships;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN
978-1-4799-7599-0
Type
conf
DOI
10.1109/AIMS.2014.39
Filename
7102478
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