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Maritime situational awareness use cases enabled by space-borne sensors
(CMRE, 2019/06)
This paper discusses a technique for predicting a vessel?s position over a long time horizon with much lower uncertainty than current methods. Lowering the uncertainty of long-range prediction is a key challenge in maritime ...
A document-based data model for large scale computational maritime situational awareness
(CMRE, 2019/06)
Computational Maritime Situational Awareness (MSA) supports the maritime industry, governments, and international organizations with machine learning and big data techniques for analyzing vessel traffic data available ...
A distributed approach to estimating sea port operational regions from lots of AIS data
(CMRE, 2019/06)
Seaports play a vital role in the global economy, as they operate as the connection corridors to all other modes of transport and as engines of growth for the wider region. But ports today are faced with numerous unique ...
Automated port traffic statistics: from raw data to visualization
(CMRE, 2017/11)
We describe how we leveraged best practices in big data processing pipeline design and visual analytics to prototype the Maritime Patterns-of-Life Information Service (MPoLIS), an information product currently under ...
Scalable and distributed sea port operational areas estimation from AIS data
(CMRE, 2019/06)
Seaports are spatial units that do not remain static over time. They are constantly in flux, evolving according to environmental and connectivity patterns both in size and operational capacity. As such any valid decision ...