Review article
https://doi.org/10.31217/p.31.2.6
Near Real-time S-AIS: Recent Developments and Implementation Possibilities for Global Maritime Stakeholders
Davor Šakan
orcid.org/0000-0003-1329-3482
; University of Rijeka, Faculty of Maritime Studies, Rijeka, Croatia
Igor Rudan
orcid.org/0000-0002-2424-3491
; University of Rijeka, Faculty of Maritime Studies, Rijeka, Croatia
Srđan Žuškin
orcid.org/0000-0001-8389-828X
; University of Rijeka, Faculty of Maritime Studies, Rijeka, Croatia
David Brčić
orcid.org/0000-0003-0643-841X
; University of Rijeka, Faculty of Maritime Studies, Rijeka, Croatia
Abstract
The Automatic identification System (AIS) has been mainly designed to improve safety and efficiency of navigation, environmental protection, coastal traffic monitoring simplifying identification and communication. Additionally, historical AIS data have been used in many other areas of maritime safety, economic and environmental research.
The probability of the detection of terrestrial AIS signals from space was presented in 2003, following the advancements in micro satellite technology. Through constant development, research and cooperation between governmental and private sectors, Satellite AIS (S-AIS) has been continuously evolving. Advancements in signal and data processing techniques have resulted in an improved detection over vast areas outside of terrestrial range. Some of the challenges of S-AIS technology include satellite revisit times, message collision and ship detection probability. Data processing latency and lacking the continuous real-time coverage made it less reliable for end user in certain aspects of monitoring and data analysis.
Recent developments and improvements by leading S-AIS service providers have reduced latency issues. Complementing with terrestrial AIS and other technologies, near real-time S-AIS can further enhance all areas of the global maritime monitoring domain with emerging possibilities for maritime industry.
Keywords
Near real-time data; satellite AIS (S-AIS); Medium-range ETA prediction
Hrčak ID:
213342
URI
Publication date:
20.12.2018.
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