Archive
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- June 2018
- May 2018
- April 2018
- March 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- June 2015
- April 2015
- December 2014
- October 2014
- August 2014
- May 2014
- February 2014
- December 2013
- November 2013
- June 2013
- February 2013
- January 2013
- December 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- March 2012
- January 2012
- May 2011
AIS in maritime research – new paper
A new research article is published in the journal Marine Policy. This paper provides an overview of how Automatic Identification System (AIS) can be used in different areas of maritime research. AIS data can be incorporated in various types of modelling approaches and play a small or large role as a source of data. AIS data can also be validated or used to validate research from other data sources. The researchers have identified and presents ten different research areas in which AIS is used today. In the future they propose making use of AIS data also in other research fields. Many stakeholders can benefit from the research in which AIS data is used.
- “This paper has identified that there are at least ten different research areas in which AIS is used today; (1) Traffic, (2) Logistics and transport economy, (3) Monitoring, (4) Collisions, (5) Emission, (6) Oil spills, (7) Noise, (8) Interaction with whales, (9) Fishing, and (10) Ice.”, says Ph.D. Martin Svanberg, researcher at SSPA and one of the authors.
AIS data can be used in a variety of methods from straightforward mapping of traffic to use in various types of simulation and optimization models. Moreover, AIS has a very different role in various papers, as it can be used as the only source of data, can be combined, can be used as an alternative source of data, and can be validated against or used to validate the results from other sources of data. Furthermore, AIS-based research can benefit a large variety of actors ranging from governments, authorities, and NGOs to various individual actors such as administrators of shipping companies and ports.
With respect to future research, it is proposed that making use of AIS data in other research fields, making greater use of the variety of AIS messages as well as combining AIS with other sources of data, and extending both spatial and temporal perspectives are avenues of research with potentially greater impact. Nevertheless, research on the technical challenges of the AIS data system, e.g. coverage as well as developing the actual AIS system, should not be overlooked.
This research has received financial support from the Swedish Governmental Agency for Innovation Systems, Interreg Öresund-Kattegat-Skagerrak and the European Regional Development Fund.
The article - AIS in maritime research
Authors: From SSPA; Martin Svanberg, Vendela Santén, Axel Hörteborn, Christian Finnsgård and from Svenska beräkningsbyrån; Henrik Holm.
Published: Marine Policy. Available online 16 May 2019.
Link: https://doi.org/10.1016/j.marpol.2019.103520
Abstract: Although not originally developed for research use, the Automatic Identification System (AIS) enables its data to be used in research. The present paper provides a structured overview of how AIS data is used for various research applications. Ten areas have been identified, spread across maritime, marine and other journals. Many stakeholders beyond the most frequently mentioned – authorities and maritime administrations – can benefit from the research in which AIS data is used. AIS data can be incorporated in various types of modelling approaches and play a small or large role as a source of data. AIS data can also be validated or used to validate research from other data sources. Although a large amount of AIS-based research adds to the literature, there is still a large potential for using AIS data for research by making greater use of the variety in AIS messages, combining AIS with other sources of data, and extending both spatial and temporal perspectives.
Illustration
AIS data can be used in a variety of methods from straightforward mapping of traffic to use in various types of simulation and optimization models. Illustration: SSPA Sweden.
M.Sc. Risk Management & Safety Engineering
Ph.D. (Tech. Management and Economics), M.Sc. (Mech. Eng.), M.Sc. (Business Admin.)
To calculate the load factor of ships on a larger scale, new pre-study
Transport activities can become more energy and cost efficient by improving the load factor, i.e. balancing the required and available capacity of transportation. Statistics about load factor are missing today, in particular for sea transports. SSPA’s experts has investigated how the load factor can be mapped from AIS-data and analysed the energy efficiency potential of an increased load factor in sea transports.
Traffic analysis using AIS-data
A new bridge is being built in the centre of Gothenburg. The Swedish Transport Administration is investigating if a traffic management system can be useful to minimize conflicts between different modes of transportation. SSPA has supported this investigation and our experts has performed an extensive traffic analysis based on AIS and ship data. When using our database of AIS-data we have the capacity to map, describe and visualize traffic patterns on shipping lanes.
Route optimisation based on AIS tracks in the Baltic Sea
We present the results of taking stored AIS tracks and optimising their route geometry as well as their speed to minimise fuel consumption, i.e. to minimise the shallow water resistance experienced by each ship. The results show key changes in traffic patterns, specifically fairway shortcuts that could be taken if there are no safety concerns.
Defining normal ship behaviour and safety distance to other ships in open waters
To assess how ship domains vary under different geographical settings and in different types of meetings, SSPA performed a case study. Our researchers studied over 600,000 ship encounters at 36 locations around the Swedish coast. The conclusion is that the ship domain has the shape of an ellipse with half axes radii of 0.9 and 0.45 nautical miles in open waters. In contrast to previous research, it has also been discovered that the ship domain is unrelated to the length of the ship.