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 au...

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Autores principales: Rino Bošnjak, Danko Kezić, Goran Belamarić, Srećko Krile
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Lenguaje:EN
Publicado: Vilnius Gediminas Technical University 2021
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Acceso en línea:https://doaj.org/article/43f94b70d8bf4348b6ddfc3f81e659f1
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spelling oai:doaj.org-article:43f94b70d8bf4348b6ddfc3f81e659f12021-11-25T13:01:50ZModelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident1648-41421648-348010.3846/transport.2021.15824https://doaj.org/article/43f94b70d8bf4348b6ddfc3f81e659f12021-11-01T00:00:00Zhttps://journals.vgtu.lt/index.php/Transport/article/view/15824https://doaj.org/toc/1648-4142https://doaj.org/toc/1648-3480The 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.Rino BošnjakDanko KezićGoran BelamarićSrećko KrileVilnius Gediminas Technical Universityarticlediscrete event systems in maritimedover incidenthybrid petri netmaritime sector supervisormaritime traffic control centremaritime collision preventionvisual object netTransportation engineeringTA1001-1280ENTransport, Vol 36, Iss 4, Pp 305-316 (2021)
institution DOAJ
collection DOAJ
language EN
topic discrete event systems in maritime
dover incident
hybrid petri net
maritime sector supervisor
maritime traffic control centre
maritime collision prevention
visual object net
Transportation engineering
TA1001-1280
spellingShingle discrete event systems in maritime
dover incident
hybrid petri net
maritime sector supervisor
maritime traffic control centre
maritime collision prevention
visual object net
Transportation engineering
TA1001-1280
Rino Bošnjak
Danko Kezić
Goran Belamarić
Srećko Krile
Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
description 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.
format article
author Rino Bošnjak
Danko Kezić
Goran Belamarić
Srećko Krile
author_facet Rino Bošnjak
Danko Kezić
Goran Belamarić
Srećko Krile
author_sort Rino Bošnjak
title Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
title_short Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
title_full Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
title_fullStr Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
title_full_unstemmed Modelling of VTS supervisor by algorithm based on Petri net: case study of Dover incident
title_sort modelling of vts supervisor by algorithm based on petri net: case study of dover incident
publisher Vilnius Gediminas Technical University
publishDate 2021
url https://doaj.org/article/43f94b70d8bf4348b6ddfc3f81e659f1
work_keys_str_mv AT rinobosnjak modellingofvtssupervisorbyalgorithmbasedonpetrinetcasestudyofdoverincident
AT dankokezic modellingofvtssupervisorbyalgorithmbasedonpetrinetcasestudyofdoverincident
AT goranbelamaric modellingofvtssupervisorbyalgorithmbasedonpetrinetcasestudyofdoverincident
AT sreckokrile modellingofvtssupervisorbyalgorithmbasedonpetrinetcasestudyofdoverincident
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