Data underlying the publication: Contributing Factors to Flight-Centric Complexity in En-Route Air Traffic Control

This dataset accompanies the article "Contributing Factors to Flight-Centric Complexity in En-Route Air Traffic Control". It includes the characteristics of a flight with respect to a scenario's flight of interest and the number of professional air traffic controllers that included this flight when asked whether it added to the perceived complexity of the flight of interest. This data was used for training and evaluating the flight-inclusion machine-learning model discussed in the article.

本数据集配套于论文《航路空中交通管制中以航班为核心的复杂度影响因素》（Contributing Factors to Flight-Centric Complexity in En-Route Air Traffic Control）。该数据集包含目标场景下的目标航班相关特征，以及受访专业空中交通管制员（air traffic controllers）在被询问某航班是否会提升该目标航班的感知复杂度时，将该航班纳入考量的人数统计结果。本数据集所涵盖的数据被用于训练与评估论文中所讨论的航班纳入度机器学习模型（flight-inclusion machine-learning model）。