AIS in maritime research

Svanberg, Martin; Santén, Vendela; Hörteborn, Axel; Holm, Henrik; Finnsgård, Christian

doi:10.1016/j.marpol.2019.103520

Cited by 115 publications

(56 citation statements)

References 123 publications

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“…Fortunately, recent technological advances associated with automatic identification system (AIS), now means that ship-based mobility patterns can be monitored on a global scale [22][23][24] , thereby providing a unique opportunity to monitor the location of large ocean-going ships, passenger liners, and fishing vessels anywhere in the world at high temporal resolution [25][26][27] . Consequently, AIS can provide unparalleled insights into shipping-derived impacts and conservation planning at multiple spatial and temporal scales 4,[27][28][29][30][31] . In view of COVID-19, AIS has recently been employed to assess the potential spread of the virus 10,32,33 and to describe the reductions in marine traffic at local scale 8 .…”

Section: Introductionmentioning

confidence: 99%

Tracking the global reduction of marine traffic during the COVID-19 pandemic

March

Metcalfe

Tintoré

et al. 2020

Preprint

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The COVID-19 pandemic has resulted in unparalleled global impacts on human mobility. In the ocean, ship-based activities are thought to have decreased due to severe restrictions and changes in goods consumption, but little is known of the patterns of change, which sectors are most affected, in which regions, and for how long. Here, we map global change of marine traffic during the COVID-19 pandemic and assess its temporal variability at a fine-scale in one of the most affected regions, the Mediterranean Sea. Nearly 44.3% of the global ocean and 77.5% of national jurisdictions showed a decrease in traffic density during April 2020, when strictest confinement measures took place, showing a clear disruption in comparison with previous trends and future projections. Decreases mainly occurred in coastal areas and were more marked and longer lasting in sectors other than cargo and tanker shipping. Our results provide guidance for large-scale monitoring of the progress and potential effects of COVID-19, or other global shocks, on the blue economy and ocean health.

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Section: Introductionmentioning

confidence: 99%

Tracking the global reduction of marine traffic during the COVID-19 pandemic

March

Metcalfe

Tintoré

et al. 2020

Preprint

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“…Even though AIS was initially developed to avoid collisions between vessels (Goerlandt and Kujala, 2011;Wu et al, 2017), its features make it a useful tool for Maritime Spatial Planning (MSP) and for the management of a number of maritime activities (Shelmerdine, 2015). Indeed, AIS is now employed in a variety of research areas (Svanberg et al, 2019) that range from oil spill prevention (Eide et al, 2007;Schwehr and McGillivary, 2007) to identification of fishing vessel behavior (Natale et al, 2015;De Souza et al, 2016). Since May 2014, all European fishing vessels exceeding 15 m length overall are required to carry and operate an AIS device (European Commission [EC], 2011).…”

Section: Introductionmentioning

confidence: 99%

Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea

et al. 2020

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In the past decades, the Automatic Identification System (AIS) has been employed in numerous research fields as a valuable tool for, among other things, Maritime Domain Awareness and Maritime Spatial Planning. In contrast, its use in fisheries management is hampered by coverage and transmission gaps. Transmission gaps may be due to technical limitations (e.g., weak signal or interference with other signals) or to deliberate switching off of the system, to conceal fishing activities. In either case such gaps may result in underestimating fishing effort and pressure. This study was undertaken to map and analyze bottom trawler transmission gaps in terms of duration and distance from the harbor with a view to quantifying unobserved fishing and its effects on overall trawling pressure. Here we present the first map of bottom trawler AIS transmission gaps in the Mediterranean Sea and a revised estimate of fishing effort if some gaps are considered as actual fishing.

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“…В регионах интенсивного судоходства (например, в проливе Ла-Манш, Финском заливе, заливе Петра Великого, Азовском море, районах действия СУДС и др.) эти требования к безопасности мореплавания возрастают [8]- [11].…”

Section: обсуждение (Discussion)unclassified

Determination of a Finite Number of Ships With the Navigation Messages Mutual Exchange via Shipboard Equipment of the Automatic Identification System

Ustinov¹,

Shipping²,

Marinich³

et al. 2020

Vestnik GUMRF imeni admirala S. O. Makarova

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In accordance with SOLAS 74 Regulation 5.19 all seagoing ships with a gross tonnage of over 300 gt are required to be equipped with ship's equipment of the automatic identification system (AIS) that is to improve Maritime Safety. It provides mutual exchange with the navigation and safety messages between the ships. Mutual messaging is possible due to applying the schemes, proposed in the automatic identification system, of multi-station access and accurate synchronization of ships own time scales aligned with the signals of the Global Navigation Satellite System. The multi-station access performance is evaluated by the number of ships with ability of mutual exchange. However, any scheme has a finite capacity. The purpose of this paper is the calculation of the performance of the schemas used in the basic (stand-alone) operation of shipboard equipment for automatic identification system. The scheme performance depends on the ship's traffic mode. It has been shown that the technical parameters of the automatic identification system shipboard equipment and algorithms for multi-station access allow up to 100 vessels to be involved into exchange with navigation messages within the area of the vessel traffic management system. In the high seas when ships generally do not maneuver extensively when moving, the performance of multistation access decreases less than 50 ships. There is a possibility to increase the AIS effectiveness by using three and more carrier frequencies to transmit ship's data.

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AIS in maritime research

Cited by 115 publications

References 123 publications

Tracking the global reduction of marine traffic during the COVID-19 pandemic

Tracking the global reduction of marine traffic during the COVID-19 pandemic

Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea

Determination of a Finite Number of Ships With the Navigation Messages Mutual Exchange via Shipboard Equipment of the Automatic Identification System

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