The Federal Aviation Administration (FAA) air traffic control system uses Decision Support Tools (DSTs) such as the User Request Evaluation Tool (URET) and the Traffic Management Advisor (TMA) to assist air traffic co...
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The Federal Aviation Administration (FAA) air traffic control system uses Decision Support Tools (DSTs) such as the User Request Evaluation Tool (URET) and the Traffic Management Advisor (TMA) to assist air traffic controllers to separate air traffic. DSTs predict aircraft flight paths and foretell potential conflicts. The accuracy of the trajectories generated by the DSTs determines their overall performance. The Conflict Probe Assessment Team, located at the FAA William J. Hughes Technical Center in New Jersey, has measured the accuracy of the TMA and URET trajectory modelers. And they will continue to study the accuracy of trajectory modelers in planned systems. A methodology has been developed to measure the accuracy of trajectories. Various algorithms and relational databases have been fashioned to investigate and calculate the performance accuracy of trajectory prediction. This paper presents a new graphical tool called the Trajectory Graphical User Interface (TrajectoryGUI), which was jointly developed by the Rowan University's Software Engineering, Graphics, and Visualization Research Group and the FAA, to assist the investigators in measuring the accuracy. The tool provides assistance through an easy to use graphical user interface. The key features of the tool are its ability to graphically plot from a plethora of different flights and trajectories, view the plotted path, both in horizontal and vertical dimensions, zoom in and out, apply time tags for comparisons, and export plots and statistical analysis results of the investigation for external presentation. The development of this tool has resulted in a thorough process of evaluating the trajectory prediction accuracy of DSTs, It supplements the existing data analysis environment to a visualization analysis environment. An analyst can use TrajectoryGUI to package the trajectory accuracy results and illustrate the inaccuracy.
When using recorded air traffic data to measure the accuracy of air traffic management decision support tools that use intent-based trajectory modelers, it is necessary to determine whether or not an aircraft is adher...
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ISBN:
(纸本)1563477378
When using recorded air traffic data to measure the accuracy of air traffic management decision support tools that use intent-based trajectory modelers, it is necessary to determine whether or not an aircraft is adhering to its known flight plan clearance. This paper defines what is meant by adherence and presents metrics that can be used to define lateral flight adherence. The paper describes an algorithm that is currently being applied that uses a subset of these metrics. The paper then presents a number of examples obtained from recorded air traffic data, which show instances where aircraft deviate from their known lateral clearance. The paper then presents a number of alternative approaches that could be used to implement a better algorithm for determining whether or not an aircraft was in lateral adherence based on recorded air traffic data.
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