ATFMTraj: Aircraft Trajectory Time Series Data for Air Traffic Management

Since the aircraft trajectory data in the field of air traffic management typically lacks labels, it limits the community's ability to explore classification models. Consequently, evaluations of clustering models often focus on the correctness of cluster assignment rather than merely the closeness within the cluster. To address this, we labeled the dataset for both classification and clustering tasks by referring to aeronautical publications. The process of obtaining the ATFM trajectory dataset consists of data sourcing, preprocessing, and annotation.空中交通管理领域的航空器轨迹数据通常缺乏标注，这制约了学术界探索分类模型的能力。因此，聚类模型的评估往往聚焦于簇分配的正确性，而非仅关注簇内数据的紧密程度。为解决这一问题，我们参考航空领域专业文献，为该数据集同时标注了分类任务与聚类任务所需的标签。本次获取航空交通流量管理（Air Traffic Flow Management，简称ATFM）轨迹数据集的流程涵盖数据采集、预处理与标注三个环节。

搜集汇总

背景与挑战

背景概述

ATFMTraj是一个用于航空交通管理的飞机轨迹时间序列数据集，通过参考航空出版物为轨迹数据添加了标签，解决了原始数据缺乏标注的问题，支持分类和聚类任务。该数据集包含数据获取、预处理和标注过程，适用于人工智能和机器学习领域的研究。