An Controller Workload Forecasting Method Based on Flight Plan

Proceedings of the 10th Chinese Society of Aeronautics and Astronautics Youth Forum(2023)

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Abstract
The significant growth of air traffic volume in the next few years requires a more accurate method of controller load assessment. Under the current framework of pre flight plan management, the most important thing is to quantify the control work of controllers according to the flight plan and find a reasonable method to evaluate their work. We present a controller load evaluation method based on flight plan. The first part aims to analyze the elements of the flight plan that affect the work of the controller, and the second part will be devoted to evaluating the controller load according to the flight plan. Finally, the practical application will be discussed.
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Key words
Controller workload, NNET, SVM, Random forest, Flight plan
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