An Ontology for Decision-Making Support in Air Traffic Management

Decision-making processes of Air Traffic Management (ATM) need to organize information from different data sources. For example, reroute requires four-dimensional (4D) trajectory and weather information. Future ATM Decision-Support Systems (DSS) are expected to perform trustworthy complex decision-making automatically. This paper proposes an approach to DSS in ATM based on an ontology including concepts and instances of trajectories and meteorology. Temporal and spatial relationships are then set in this ontology. Reasoning rules are also build to represent knowledge in DSS. A case study shows a reroute scenario during a thunderstorm. In this scenario, information of the flight and the weather is combined to support decision-making by the proposed approach.