An Ontology for Decision-Making Support in Air Traffic Management
465
Fig. 5. Trajectory from Shanghai to Beijing
Fig. 6. Result of the case study
7 Conclusion
This paper proposes an ontology-based approach to decision-making in Air Traffic Management. Reasoning rules are defined within this ontology. Conflicts
between trajectories and thunderstorms can be detected by running these rules.
The results show the effectiveness of the proposed approach. The proposed approach can also be used in different scenarios in ATM [15].
The future work may be conducted along with the following topics:
– ontology for multi-criteria decision-making;
– fuzzy ontology models of ATM; and
– ontology models of the process of thunderstorms.
465
Fig. 5. Trajectory from Shanghai to Beijing
Fig. 6. Result of the case study
7 Conclusion
This paper proposes an ontology-based approach to decision-making in Air Traffic Management. Reasoning rules are defined within this ontology. Conflicts
between trajectories and thunderstorms can be detected by running these rules.
The results show the effectiveness of the proposed approach. The proposed approach can also be used in different scenarios in ATM [15].
The future work may be conducted along with the following topics:
– ontology for multi-criteria decision-making;
– fuzzy ontology models of ATM; and
– ontology models of the process of thunderstorms.