This paper introduces a ground-delay-based traffic management approach to reduce the impedance-based airspace complexity for a given scenario. This work extends our prior research on developing an impedance-based complexity metric for unmanned aircraft system traffic scenario classification. Impedance-based metric was evaluated for 1045 randomly generated scenarios. Scenarios with overall impedance above a certain threshold were declared as not feasible. A ground-delay-based approach was developed to be applied to the rest of the scenarios so as to remediate any scenarios with small areas of high impedance on their impedance maps. A sample application is shown for a scenario with sixty flights. The detailed trade-offs between overall accrued system delay, the number of delayed flights, the total number of conflicts and the highest impedance observed as a function of the delay tolerance for each aircraft are provided. Potential applications to Urban Air Mobility traffic scenarios are also discussed.
A Ground-Delay-Based Approach to Reduce Impedance-Based Airspace Complexity
2021 AIAA AVIATION Forum ; 2021 ; Virtual, US
2021-08-07
Miscellaneous
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English
Aircraft Clustering Based on Airspace Complexity
British Library Conference Proceedings | 2007
|Aircraft Clustering Based on Airspace Complexity
AIAA | 2007
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