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• W2323593823 abstract "Efficient Descent Adviser (EDA) concept based automation tools provide critical arrival management function for Air Traffic Control (ATC) to meet arrival schedules and manage safe operation in high density airspace. The EDA generated ATC advisories such as speed, altitude and path stretch maneuvers are sensitive to the accuracy of Trajectory Predictor (TP) generated tracks. While the performance of EDA concept is directly affected by the TP performance, the TP errors primarily originate from errors associated with Aircraft Performance Model (APM) data, wind data, aircraft weight, and Pilot and FMS intent that are assumed in trajectory prediction. This paper analyzes the sensitivity of EDA performance metrics to trajectory prediction due to uncertainty in the data and model used in trajectory prediction. Specifically it analyzes the sensitivity of controller intervention metrics such as Missed Alerts (MAs) to aggregate track and altitude errors. These missed alerts are unresolved conflict probe MAs and control action triggered MAs. The paper discusses the combined effect of multiple sources of errors on predicted trajectories and EDA performance. The paper identifies correlation of track error to altitude error as characteristic curve of error sources which can be used to determine the EDA-TP sensitivity for a given set of potential conflicts." @default.
• W2323593823 created "2016-06-24" @default.
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• W2323593823 date "2011-06-14" @default.
• W2323593823 modified "2023-09-24" @default.
• W2323593823 title "Sensitivity of Efficient Descent Advisor (EDA) Performance to Trajectory Prediction (TP) Errors" @default.
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• W2323593823 doi "https://doi.org/10.2514/6.2011-6663" @default.
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