Multi-Agent Maritime Traffic Simulator

This simulator is designed to support research on centralised game-theoretical algorithms for maritime traffic management. It supports an arbitrary number of vessels and land masses import. Vessels are modelled as agents whose motion is governed by the kinematic equations and the land masses are pol...

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Main Author: Luka Grgicevic
Format: Article
Language:English
Published: Norwegian Society of Automatic Control 2024-10-01
Series:Modeling, Identification and Control
Subjects:
Online Access:http://www.mic-journal.no/PDF/2024/MIC-2024-4-2.pdf
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author Luka Grgicevic
author_facet Luka Grgicevic
author_sort Luka Grgicevic
collection DOAJ
description This simulator is designed to support research on centralised game-theoretical algorithms for maritime traffic management. It supports an arbitrary number of vessels and land masses import. Vessels are modelled as agents whose motion is governed by the kinematic equations and the land masses are polygon shape files. In the simulator, each vessel has access to the reward oracle, which evaluates the agents' strategies by taking into account the risk of collision and grounding, the level of compliance with the traffic rules and the operational efficiency. A game-theoretical model predictive control then generates optimal trajectories for every traffic participant simultaneously. Vessels are engaged in repeated competitive polymatrix games, whose equilibria solutions are a series of waypoints, meant to be broadcast as navigational decision support by the Vessel Traffic Services. We convey the agents' and functions' modelling principle implemented in NetLogo and present the overall simulator structure and scope.
format Article
id doaj-art-42ba5796acb84da29371622adfc0ee9f
institution Kabale University
issn 0332-7353
1890-1328
language English
publishDate 2024-10-01
publisher Norwegian Society of Automatic Control
record_format Article
series Modeling, Identification and Control
spelling doaj-art-42ba5796acb84da29371622adfc0ee9f2025-01-28T20:01:03ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282024-10-0145412713610.4173/mic.2024.4.2Multi-Agent Maritime Traffic SimulatorLuka GrgicevicThis simulator is designed to support research on centralised game-theoretical algorithms for maritime traffic management. It supports an arbitrary number of vessels and land masses import. Vessels are modelled as agents whose motion is governed by the kinematic equations and the land masses are polygon shape files. In the simulator, each vessel has access to the reward oracle, which evaluates the agents' strategies by taking into account the risk of collision and grounding, the level of compliance with the traffic rules and the operational efficiency. A game-theoretical model predictive control then generates optimal trajectories for every traffic participant simultaneously. Vessels are engaged in repeated competitive polymatrix games, whose equilibria solutions are a series of waypoints, meant to be broadcast as navigational decision support by the Vessel Traffic Services. We convey the agents' and functions' modelling principle implemented in NetLogo and present the overall simulator structure and scope.http://www.mic-journal.no/PDF/2024/MIC-2024-4-2.pdfcentralised guidance systemnetlogomaritime trafficvessel traffic services
spellingShingle Luka Grgicevic
Multi-Agent Maritime Traffic Simulator
Modeling, Identification and Control
centralised guidance system
netlogo
maritime traffic
vessel traffic services
title Multi-Agent Maritime Traffic Simulator
title_full Multi-Agent Maritime Traffic Simulator
title_fullStr Multi-Agent Maritime Traffic Simulator
title_full_unstemmed Multi-Agent Maritime Traffic Simulator
title_short Multi-Agent Maritime Traffic Simulator
title_sort multi agent maritime traffic simulator
topic centralised guidance system
netlogo
maritime traffic
vessel traffic services
url http://www.mic-journal.no/PDF/2024/MIC-2024-4-2.pdf
work_keys_str_mv AT lukagrgicevic multiagentmaritimetrafficsimulator