Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]

Motivation The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2020. More data will be periodically included in the dataset until the end of the COVID-19 pandemic. License Creative Commons CC-BY The only difference with the original dataset comes from anonymised aircraft information. Disclaimer The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous. Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted. Fields origin or destination are empty when no airport could be found. Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database. Description of the dataset One file per month is provided as a csv file with the following features: callsign: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.) number: the commercial number of the flight, when available (the matching with the callsign comes from public open API) aircraft_uid: a unique anonymised identifier for aircraft; typecode: the aircraft model type (when available); origin: a four letter code for the origin airport of the flight (when available); destination: a four letter code for the destination airport of the flight (when available); firstseen: the UTC timestamp of the first message received by the OpenSky Network; lastseen: the UTC timestamp of the last message received by the OpenSky Network; day: the UTC day of the last message received by the OpenSky Network; latitude_1, longitude_1, altitude_1: the first detected position of the aircraft; latitude_2, longitude_2, altitude_2: the last detected position of the aircraft. Examples Possible visualisations and a more detailed description of the data are available at the following page: <https://traffic-viz.github.io/scenarios/covid19.html> Credit If you use this dataset, please cite the original OpenSky paper: Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm. "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research". In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014. and the traffic library used to derive the data: Xavier Olive. "traffic, a toolbox for processing and analysing air traffic data." Journal of Open Source Software 4(39), July 2019.

### 数据集说明
#### 研究动机
本数据集的数据源自完整开放天空（OpenSky）数据集并经过清洗处理，用于展示新冠疫情（COVID-19）大流行期间的空中交通发展态势。数据集覆盖该网络超过2500个传感器节点自2020年1月1日起记录的所有航班信息，后续将定期补充数据直至新冠疫情大流行结束。

#### 许可协议
知识共享 CC-BY（Creative Commons CC-BY）。本数据集与原始数据集的唯一区别在于对航空器信息进行了匿名化处理。

#### 免责声明
本文件中提供的数据均按「现状」提供。尽管我们已尽力过滤潜在问题，但仍可能存在部分错误信息。起降机场信息基于进近/起飞阶段的广播式自动相关监视（Automatic Dependent Surveillance-Broadcast，ADS-B）轨迹在线计算得出，未与外部数据源进行交叉验证。若无法识别机场，则起飞机场、目的地机场字段将留空。航空器信息来源于开放天空航空器数据库，若数据库中无对应航空器记录，则机型代码（typecode）和注册号字段将留空。

#### 数据集格式说明
本数据集按月提供单个逗号分隔值（Comma-Separated Values，CSV）文件，包含以下字段：
1. 呼号（callsign）：空中交通管制（Air Traffic Control，ATC）屏幕上显示的航班识别码（通常前三位字母为航空公司预留代码，例如AFR代表法国航空、DLH代表汉莎航空等）
2. 航班号（number）：航班商业编号，若可获取（与呼号的匹配信息来自公开开放应用程序编程接口（Application Programming Interface，API））
3. 航空器唯一标识（aircraft_uid）：航空器的匿名化唯一标识符
4. 机型代码（typecode）：航空器型号（若可获取）
5. 起飞机场（origin）：航班起飞机场的国际民航组织（International Civil Aviation Organization，ICAO）四字母代码（若可获取）
6. 目的地机场（destination）：航班目的地机场的国际民航组织（ICAO）四字母代码（若可获取）
7. 首次观测时间（firstseen）：开放天空网络接收到的第一条航空器报文的协调世界时（Coordinated Universal Time，UTC）时间戳
8. 末次观测时间（lastseen）：开放天空网络接收到的最后一条航空器报文的协调世界时（UTC）时间戳
9. 观测日期（day）：开放天空网络接收到最后一条航空器报文的协调世界时（UTC）日期
10. 第一检测位置（latitude_1, longitude_1, altitude_1）：航空器首次被检测到的位置信息（纬度、经度、高度）
11. 末次检测位置（latitude_2, longitude_2, altitude_2）：航空器末次被检测到的位置信息（纬度、经度、高度）

#### 数据集示例
本数据集的可视化样例与更详细的说明可访问以下页面：<https://traffic-viz.github.io/scenarios/covid19.html>

#### 引用说明
若您使用本数据集，请引用以下原始开放天空相关论文：
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm. "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research". In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014.
同时请引用用于生成本数据集的traffic工具库：
Xavier Olive. "traffic, a toolbox for processing and analysing air traffic data." Journal of Open Source Software 4(39), July 2019.

搜集汇总

背景与挑战

背景概述

该数据集是众包的航空交通数据，旨在展示COVID-19大流行期间全球航空交通的发展情况，数据来源于OpenSky网络的2500多名成员，覆盖2020年1月以来的航班信息。数据集以每月CSV文件形式提供，包含航班标识、飞机型号、起降机场、时间戳和位置等关键特征，但飞机信息已匿名化，且部分字段可能因数据限制而缺失。