Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches Using Co-Evolutionary Red Teaming

Increasing air traffic has resulted in the development of strategies such as continuous descent approaches (CDA). Using a computational environment called computational red teaming, complex traffic patterns are explored with the aim to identify underlying relationships in patterns leading to bottlenecks in the system. Ground events are considered in the evaluation of CDA. Co-evolutionary algorithms can identify distributions of arriving flights that lead to higher delays. In addition, the co-evolutionary search identified vulnerabilities in the CDA.