ieeexplore.ieee.org/abstract/document/10317461
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Agent-based model for realistic vessel route simulation in port areas
This paper presents a general and extensible agent-based model for simulating vessel traffic in harbours, covering both approaching and leaving maneuvers.The model consists of three fundamental components: agents, environment, and rules. Agents represent vessels navigating within the port; the environment component models the harbour and its surroundings; the rules component governs interactions among agents and their interplay with the environment.The model has been implemented in the GAMA platform and validated through a series of tests and experiments. To create a realistic environment, the port of Augusta was used as a case study.Our model serves as a valuable tool, especially in traffic-intensive ports lacking pilotage services, which attract coastal, tourist, oceanic, and military vessels. While acknowledging its potential, we remain aware of its limitations and strive for continuous improvement and refinement.
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Agent-based model for realistic vessel route simulation in port areas
This paper presents a general and extensible agent-based model for simulating vessel traffic in harbours, covering both approaching and leaving maneuvers.The model consists of three fundamental components: agents, environment, and rules. Agents represent vessels navigating within the port; the environment component models the harbour and its surroundings; the rules component governs interactions among agents and their interplay with the environment.The model has been implemented in the GAMA platform and validated through a series of tests and experiments. To create a realistic environment, the port of Augusta was used as a case study.Our model serves as a valuable tool, especially in traffic-intensive ports lacking pilotage services, which attract coastal, tourist, oceanic, and military vessels. While acknowledging its potential, we remain aware of its limitations and strive for continuous improvement and refinement.
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Agent-based model for realistic vessel route simulation in port areas
This paper presents a general and extensible agent-based model for simulating vessel traffic in harbours, covering both approaching and leaving maneuvers.The model consists of three fundamental components: agents, environment, and rules. Agents represent vessels navigating within the port; the environment component models the harbour and its surroundings; the rules component governs interactions among agents and their interplay with the environment.The model has been implemented in the GAMA platform and validated through a series of tests and experiments. To create a realistic environment, the port of Augusta was used as a case study.Our model serves as a valuable tool, especially in traffic-intensive ports lacking pilotage services, which attract coastal, tourist, oceanic, and military vessels. While acknowledging its potential, we remain aware of its limitations and strive for continuous improvement and refinement.
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12- titleAgent-based model for realistic vessel route simulation in port areas | IEEE Conference Publication | IEEE Xplore
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- og:titleAgent-based model for realistic vessel route simulation in port areas
- og:descriptionThis paper presents a general and extensible agent-based model for simulating vessel traffic in harbours, covering both approaching and leaving maneuvers.The model consists of three fundamental components: agents, environment, and rules. Agents represent vessels navigating within the port; the environment component models the harbour and its surroundings; the rules component governs interactions among agents and their interplay with the environment.The model has been implemented in the GAMA platform and validated through a series of tests and experiments. To create a realistic environment, the port of Augusta was used as a case study.Our model serves as a valuable tool, especially in traffic-intensive ports lacking pilotage services, which attract coastal, tourist, oceanic, and military vessels. While acknowledging its potential, we remain aware of its limitations and strive for continuous improvement and refinement.
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