Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Is It Permissible to Use GPS Data to Avoid Collisions?
1 Polish Naval Academy, Gdynia, Poland
ABSTRACT: Automatic Radar with Plotting Aids is the basic means of preventing collisions at sea for many years. However, the use of the radar on a moving vessel requires image stabilization, which has been at least for the last 50 years solved by coupling with the gyrocompass and the log. In the present century, the widespread use of Global Navigation Satellite System receivers has led to the common practice of interconnecting this receiver with many other systems on ships. This is often also the case for radar, although GNSS gives information about movement related to the ground, whereas the International Maritime Organization recommends using parameters relating to water. The mandatory and widespread equipping ships with the Automatic Identification System means that this system is increasingly used in the process of collision avoidance, but also with the use of ground-referenced data. The aim of the paper is to investigate whether this is acceptable and what are the limits of this practice. This question becomes increasingly important in the context of the growing number of unmanned vessels. Not all, especially small autonomous surface vehicles will be equipped with radar and may also use AIS transmissions in collision avoidance algorithms.
Studies have shown that this may pose a risk of collision. At low ship speeds, if the current speed exceeds 5 knots and the direction of the current significantly deviates from the course of one of the ships, there is a risk that the planned maneuver will not be carried out. This may mean that the closest approach distance will be significantly different from the planned one.
KEYWORDS: Safety at Sea, Automatic Identification System (AIS), Collision Avoidance, Operational Use of ECDIS, GNSS, International Regulations for Preventing Collisions at Sea, Radar Navigation, Autonomous Ships
REFERENCES
D. I. Norman, ‘A Short History of Radar at Sea’. [Online]. Available: https://www.emforensics.com/main/MNRHandbookHistory.html
A. Felski, ‘Gyrocompasses - Their Condition and Direction of Development’, Int. J. Mar. Navig. Saf. Sea Transp., vol. 2, pp. 55–59, 2008, [Online]. Available: https://www.transnav.eu/Article_Gyrocompasses_-_Their_Condition_Felski,5,72.html
T. Brcko, I. Pavić, J. Mišković, and A. Androjna, ‘Investigating the Human Factor in Maritime Accidents: A Focus on Compass-Related Incidents’, Trans. Marit. Sci., vol. 12, no. 2, pp. 1–12, 2023, doi: 10.7225/toms.v12.n02.w01. - doi:10.7225/toms.v12.n02.w01
Y. Huang, L. Chen, P. Chen, R. R. Negenborn, and P. H. A. J. M. van Gelder, ‘Ship collision avoidance methods: State-of-the-art’, Saf. Sci., vol. 121, no. April 2019, pp. 451–473, 2020, doi: 10.1016/j.ssci.2019.09.018. - doi:10.1016/j.ssci.2019.09.018
A. K. Jadhav, A. R. Pandi, and A. Somayajula, ‘Collision avoidance for autonomous surface vessels using novel artificial potential fields’, Ocean Eng., vol. 288, pp. 1–28, 2023, doi: 10.1016/j.oceaneng.2023.116011. - doi:10.1016/j.oceaneng.2023.116011
W. Kazimierski and A. Stateczny, ‘Fusion of data from AIS and tracking radar for the needs of ECDIS’, 2013 Signal Process. Symp. SPS 2013, no. June 2013, 2013, doi: 10.1109/SPS.2013.6623592. - doi:10.1109/SPS.2013.6623592
D. Chen, P. Chen, and C. Zhou, ‘Research on AIS and Radar Information Fusion Method Based on Distributed Kalman’, in 2019 5th International Conference on Transportation Information and Safety (ICTIS), 2019, pp. 1482–1486. doi: 10.1109/ICTIS.2019.8883594. - doi:10.1109/ICTIS.2019.8883594
Y. Zhuo and G. E. Hearn, ‘A ship based intelligent anti-collision decision-making support system utilizing trial manoeuvres’, in 2008 Chinese Control and Decision Conference, 2008, pp. 3982–3987. doi: 10.1109/CCDC.2008.4598079. - doi:10.1109/CCDC.2008.4598079
Z. Pietrzykowski, P. Wołejsza, and P. Borkowski, ‘Decision Support in Collision Situations at Sea’, J. Navig., vol. 70, no. 3, pp. 447–464, 2017, doi: 10.1017/S0373463316000746. - doi:10.1017/S0373463316000746
P. Borkowski, Z. Pietrzykowski, and J. Magaj, ‘The algorithm of determining an anti‐collision manoeuvre trajectory based on the interpolation of ship’s state vector’, Sensors, vol. 21, no. 16, 2021, doi: 10.3390/s21165332. - doi:10.3390/s21165332
Y. He, Y. Jin, L. Huang, Y. Xiong, P. Chen, and J. Mou, ‘Quantitative analysis of COLREG rules and seamanship for autonomous collision avoidance at open sea’, Ocean Eng., vol. 140, pp. 281–291, 2017, doi: - doi:10.1016/j.oceaneng.2017.05.029
W. Naeem, G. W. Irwin, and A. Yang, ‘COLREGs-based collision avoidance strategies for unmanned surface vehicles’, Mechatronics, vol. 22, no. 6, pp. 669–678, 2012, doi: - doi:10.1016/j.mechatronics.2011.09.012
COLREG, ‘Convention on the International Regulations for Preventing Collisions at Sea, 1972 (COLREGs)’. IMO, London, 1972. [Online]. Available: https://www.imo.org/en/About/Conventions/Pages/COLREG.aspx
Cockcroft A.N. and Lameijer J.N, A Guide to the Collision Avoidance Rules, Sixth edit. London: Elsevier Butterworth-Heinemann, Oxford, 2004. [Online]. Available: https://shop.elsevier.com/books/guide-to-the-collision-avoidance-rules/cockcroft/978-0-08-052192-3
A. Felski, K. Jaskólski, and P. Banys̈, ‘Comprehensive assessment of automatic identification system (AIS) data application to anti-collision manoeuvring’, J. Navig., vol. 68, no. 4, 2015, doi: 10.1017/S0373463314000897. - doi:10.1017/S0373463314000897
A. Harati-Mokhtari, A. Wall, P. Brooks, and J. Wang, ‘Automatic Identification System (AIS): Data Reliability and Human Error Implications’, J. Navig., vol. 60, no. 3, pp. 373–389, Sep. 2007, doi: 10.1017/S0373463307004298. - doi:10.1017/S0373463307004298
IMO, ‘IMO RESOLUTION MSC.334(90) ADOPTION OF AMENDMENTS TO THE PERFORMANCE STANDARDS FOR DEVICES TO MEASURE AND INDICATE SPEED AND DISTANCE (RESOLUTION MSC.96(72))’. IMO, London, 2012. [Online]. Available: https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/MSCResolutions/MSC.334(90).pdf
A. Banachowicz and A. Wolski, ‘Determination of Ship Approach Parameters in the Polar Coordinates System’, Reports Geod. Geoinformatics, vol. 96, no. 1, pp. 1–8, 2014, doi: 10.2478/rgg-2014-0001. - doi:10.2478/rgg-2014-0001
A. Bole, A. Wall, and A. Norris, Radar and ARPA Manual. London: Elsevier Butterworth-Heinemann, Oxford, 2013. [Online]. Available: https://shop.elsevier.com/books/radar-and-arpa-manual/bole/978-0-08-097752-2
M. H. Carpenter, Real Time Method of Radar Plotting, Subsequent. Maryland: Cornell Maritime Pr/Tidewater Pub Maryland, 2005. [Online]. Available: https://schifferbooks.com/products/real-time-method-radar?srsltid=AfmBOoq97AF6g-0zeQbENy2fhsMGY2LefPrvBCTTXhQvlg1ZgrSR7TuQ
P. Zwolan and K. Czaplewski, ‘Evaluation of Vessel Simulation Model Compatibility With Its Equivalent in Reality’, Annu. Navig., vol. 20, no. 1, pp. 163–170, 2014, doi: 10.2478/aon-2013-0011. - doi:10.2478/aon-2013-0011
Citation note:
Felski A., Jaskólski K.: Is It Permissible to Use GPS Data to Avoid Collisions?. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 19, No. 2, doi:10.12716/1001.19.02.01, pp. 347-354, 2025