AI / Artificial Intelligence in Airport Simulation
AI / Artificial Intelligence in Airport Simulation
Artificial intelligence (AI) brings autonomous, learning-based behavior into airport simulation, allowing models to react to changing conditions much as real operations would.
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AI IS CHARACTERIZED BY FOUR KEY CAPABILITIES:
- Autonomous decision-making: AI agents make decisions and execute actions independently within the simulation, adapting to dynamic environments without being explicitly programmed for every situation.
- Learning ability: The software integrates data from multiple sources — flight plans, sensor data, passenger behavior — and uses it to train the AI agents
- Realistic modeling: Complex interactions between elements of the airport system, such as aircraft, passengers, and ground staff, are modeled realistically.
- Explainability and transparency: The software makes each agent's decision-making transparent and easy to understand, so results can be trusted and audited.
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With this glossary we would like to give short, basic explanations and definitions for important and frequently used terms in the fields of Analysis, Runway and Terminal Capacity Assessment and Airport Simulation/Allocation. These are based on our experience of practical application in the industry. We would be happy to provide you with more detailed definitions and further explanations. Please feel free to contact us.
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