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Paper 127 -- Application of Key Performance Indicators for Trajectory Prediction Accuracy

Key Performance Indicators (KPI) for trajectory prediction accuracy were applied to flights operating with a meet-time function enabled during climb. Comparison to flights operating open-loop reveals that the meet-time function alters the correlation between typical prediction accuracy metrics. Despite this, the same two KPI measures can be linearly combined in both the open- and closed-loop case to estimate the complete set of metrics with good rank correlation. The performance of a conflict detection function was evaluated as a function of these KPI to determine if these are predictive of conflict detection performance. In both open- and closed-loop cases, improvements in KPI led to improvements in CD performance across the System Operating Characteristics (SOC) curves. Similar SOC curves were obtained in both cases when the average KPIs were set to the same level, indicating that the TP accuracy KPI are predictive of CD performance.
Theme: Air Ground Integration
Keywords: 4-D trajectory, 4D trajectories, ATM, Accuracy, Air traffic management, Aircraft Performance, Automation Tools, Conflict Probe, DST, Decision Support, Decision Support Tools, Key Performance Indicators, Performance Indicator, Performance Measurement (or Metrics), Simulation, Trajectory, Trajectory forecasting, Trajectory prediction, Uncertainty
Posted by: Stephane Mondoloni
Note: Unset Received On Jan 26, 2007

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