HITL Air Traffic Data
收藏arXiv2025-09-30 收录
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https://github.com/ymlasu/para-atm-collection/blob/master/air-traffic-prediction/ATC-Workload-Prediction/
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资源简介：
该数据集包含了与退役空中交通管制员进行的人机交互模拟中所收集的数据，其中包括了空中交通数据和工作量标签。该数据集用于评估一种基于图的深度学习框架，该框架能够根据飞机交通密度和冲突特征来预测工作量水平。数据规模覆盖了三种不同的模拟场景，任务旨在预测空中交通管制员的工作量水平。
This dataset comprises data collected from human-computer interaction simulations involving retired air traffic controllers, including air traffic data and workload labels. It is utilized to evaluate a graph-based deep learning framework that predicts workload levels based on aircraft traffic density and conflict characteristics. The dataset covers three distinct simulation scenarios, with the core task focused on predicting the workload levels of air traffic controllers.
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