Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
The paper deals with collision prevention problem in maritime transport in the area of the narrow canals with predefined routes. The Dover incident, which is analysed and described in the paper, has shown that the control of the passage of ships through the critical areas must be upgraded with an automatic supervising system, which warns the human operator of incorrect ship motion and help the operator to make the right and timely decision. The general idea is to improve the safety of navigation by introduction of automatic collision prevention based on automated supervisor helping to human operator in Vessel Traffic System (VTS) control centre. The VTS supervisor automatically monitors marine traffic by using data from Automatic Radar Plotting Aid (ARPA) radar and others sensors. Such supervisor detects real time and Course Over Ground (COG) of the vessel entering a particular sector, and then estimates the required time for vessel’s passage into another sector. VTS supervisor compares the real time and estimated time of passage of the specific ship through particular sector as a part of surveillance area. In addition, it compares and monitors the deviation of the course during transition of zones (sectors). If significant difference for both values are occurred VTS supervisor triggers a time alarm or a course alarm respectively. In the paper authors have modelled and simulated collision prevention with performed by the alarm actions of VTS supervisor improved with algorithm module based on hybrid Petri net formalism and Visual Object Net ++ tool.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Bielić, T.; Hasanspahić, N.; Čulin, J. 2017. Preventing marine accidents caused by technology-induced human error, Scientific Journal of Maritime Research 31: 33–37.
Bošnjak, R.; Kezić, D.; Vidan, P.; Kavran, Z. 2020. Collision prevention in Singapore Strait by using timed Petri net, Transport 35(3): 273–282. https://doi.org/10.3846/transport.2019.11623
Cassandras, C. G.; Lafortune, S. 2008. Introduction to Discrete Event Systems. Springer. 772 p. https://doi.org/10.1007/978-0-387-68612-7
Chong, J. C. 2018. Impact of Maritime Autonomous Surface Ships (MASS) on VTS Operations. Dissertation. Sweden: World Maritime University, Malmö, Sweden 72 p. Available from Internet: https://commons.wmu.se/all_dissertations/647
Cockcroft, A. 2004. The Dover Strait traffic separation scheme, Journal of Navigation 57(1): 161–165. https://doi.org/10.1017/S0373463303212613
David, R.; Alla, H. 2010. Discrete, Continuous, and Hybrid Petri Nets. Springer. 550 p. https://doi.org/10.1007/978-3-642-10669-9
Emden, R. 1983. The channel navigation information service, Journal of Navigation 36(2): 195–210. https://doi.org/10.1017/S0373463300024917
Filipowicz, W. 2004. Vessel traffic control problems, Journal of Navigation 57(1): 15–24. https://doi.org/10.1017/S0373463303002480
Kim, J.-S. 2013. A basic study on the VTS operator’s minimum safe distance, Journal of the Korean Society of Marine Environment & Safety 19(5): 476–482. (in Korean). https://doi.org/10.7837/kosomes.2013.19.5.476
Lee, H.-K.; Chang, S.-R.; Jeong, G.-N.; Park, Y.-S. 2010. A proposal on the marine traffic supporting system in VTS area, Journal of Navigation and Port Research 34(9): 693–698. https://doi.org/10.5394/KINPR.2010.34.9.693
Mazzarella, F.; Arguedas, V. F.; Vespe, M. 2015. Knowledge-based vessel position prediction using historical AIS data, in 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 6–8 October 2015, Bonn, Germany, 1–6. https://doi.org/10.1109/SDF.2015.7347707
MCGA. 2014. Dover Strait Crossings: Channel Navigation Information Service. Maritime and Coastguard Agency (MCGA), Southampton, UK. Available from Internet: https://www.gov.uk/government/publications/dover-strait-crossings-channelnavigation-information-service/dover-strait-crossings-channel-navigation-information-service-cnis
Neill, H. 1990. The channel navigation information service for the Dover Strait, Journal of Navigation 43(3): 331–342. https://doi.org/10.1017/S0373463300013977
Parasoft. 2019. Visual Objects 2.7 Net Version. Available from Internet: https://de.parasoft.com
Patmanidis, S.; Voulgaris, I.; Sarri, E.; Papavassilopoulos G.; Papavasileiou, G. 2016. Maritime surveillance, vessel route estimation and alerts using AIS data, in 2016 24th Mediterranean Conference on Control and Automation (MED), 21–24 June 2016, Athens, Greece, 809–813. https://doi.org/10.1109/MED.2016.7535966
Porathe, T.; Prison, J.; Man, Y. 2014. Situation awareness in remote control centres for unmanned ships, in Human Factors in Ship Design & Operation, 26–27 February 2014, London, UK, 1–9.
Praetorius, G. 2014. Vessel Traffic Service (VTS): a Maritime Information Service or Traffic Control System? Understanding Everyday Performance and Resilience in a Socio-Technical System Under Change. Thesis for the Degree of Doctor of Philosophy. Chalmers University of Technology, Gothenburg, Sweden. 73 p.
SAFETY4SEA. 2016. New Programme for Safe Navigation Launched. Available from Internet: https://safety4sea.com/new-programme-for-safe-navigationlaunched
Squire, D. 2003. The hazards of navigating the Dover Strait (Pasde-Calais) traffic separation scheme, Journal of Navigation 56(2): 195–210. https://doi.org/10.1017/S0373463303002182
Weng, J.; Meng, Q.; Qu, X. 2012. Vessel collision frequency estimation in the Singapore Strait, Journal of Navigation 65(2): 207–221. https://doi.org/10.1017/S0373463311000683