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  • Despite their use for modeling traffic in ports and regional waters, multi-agent simulations have not yet been applied to model mar- itime traffic on a global scale. We therefore propose a fully agent-based, data-driven model of global maritime traffic, focusing primarily on mod- eling transit through piracy-affected waters. The model employs finite state machines to represent the behavior of several classes of vessels and can accurately replicate global shipping patterns and approximate real- world distribution of pirate attacks. We apply the model to the problem of optimizing the Gulf of Aden group transit. The results demonstrate the usefulness of agent-based modeling for evaluating and improving op- erational counter-piracy policies and measures.
  • Despite their use for modeling traffic in ports and regional waters, multi-agent simulations have not yet been applied to model mar- itime traffic on a global scale. We therefore propose a fully agent-based, data-driven model of global maritime traffic, focusing primarily on mod- eling transit through piracy-affected waters. The model employs finite state machines to represent the behavior of several classes of vessels and can accurately replicate global shipping patterns and approximate real- world distribution of pirate attacks. We apply the model to the problem of optimizing the Gulf of Aden group transit. The results demonstrate the usefulness of agent-based modeling for evaluating and improving op- erational counter-piracy policies and measures. (en)
Title
  • Using Multi-Agent Simulation to Improve the Security of Maritime Transit
  • Using Multi-Agent Simulation to Improve the Security of Maritime Transit (en)
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  • Using Multi-Agent Simulation to Improve the Security of Maritime Transit
  • Using Multi-Agent Simulation to Improve the Security of Maritime Transit (en)
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  • RIV/68407700:21230/11:00183251!RIV12-MSM-21230___
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  • Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 237365
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  • RIV/68407700:21230/11:00183251
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  • Multi-agent Simulation; Optimization; Security; Maritime Piracy (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [30C57DBB4130]
http://linked.open...v/mistoKonaniAkce
  • Taipei,
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  • County of Richland
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  • AAMAS 2011
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hrstka, Ondřej
  • Jakob, Michal
  • Pěchouček, Michal
  • Vaněk, Ondřej
http://linked.open...vavai/riv/typAkce
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • IFAAMAS
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  • 978-0-9826571-8-8
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  • 21230
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