Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]
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<strong>Motivation</strong> 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 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic. <strong>License</strong> Creative Commons CC-BY The only difference with the original dataset comes from anonymised aircraft information. <strong>Disclaimer</strong> 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.<br> Fields <strong>origin</strong> or <strong>destination</strong> are empty when no airport could be found. Aircraft information come from the OpenSky aircraft database. Fields <strong>typecode</strong> and <strong>registration</strong> are empty when the aircraft is not present in the database. <strong>Description of the dataset</strong> One file per month is provided as a csv file with the following features: <strong>callsign</strong>: 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.) <strong>number</strong>: the commercial number of the flight, when available (the matching with the callsign comes from public open API) <strong>aircraft_uid</strong>: a unique anonymised identifier for aircraft; <strong>typecode</strong>: the aircraft model type (when available); <strong>origin</strong>: a four letter code for the origin airport of the flight (when available); <strong>destination</strong>: a four letter code for the destination airport of the flight (when available); <strong>firstseen</strong>: the UTC timestamp of the first message received by the OpenSky Network; <strong>lastseen</strong>: the UTC timestamp of the last message received by the OpenSky Network; <strong>day</strong>: the UTC day of the last message received by the OpenSky Network; <strong>latitude_1</strong>, <strong>longitude_1</strong>, <strong>altitude_1</strong>: the first detected position of the aircraft; <strong>latitude_2</strong>, <strong>longitude_2</strong>, <strong>altitude_2</strong>: the last detected position of the aircraft. <strong>Examples</strong> Possible visualisations and a more detailed description of the data are available at the following page:<br> <https://traffic-viz.github.io/scenarios/covid19.html> <strong>Credit</strong> If you use this dataset, please cite the original OpenSky paper: Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.<br> "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research".<br> In<em> Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN)</em>, pages 83-94, April 2014. and the traffic library used to derive the data: Xavier Olive.<br> "traffic, a toolbox for processing and analysing air traffic data."<br> <em>Journal of Open Source Software</em> 4(39), July 2019.
**研究动机** 本数据集的数据源自完整的OpenSky数据集并经过清洗处理，用于展示新冠疫情期间的空中交通发展态势。数据集涵盖了2019年1月1日以来，该网络超过2500个成员所监测到的全部航班信息。本数据集将定期补充新数据，直至新冠疫情结束。 **许可协议** 采用知识共享CC-BY许可。本数据集与原始数据集的唯一差异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”交付。尽管我们已尽力过滤潜在问题，但部分信息仍可能存在错误。起降机场是基于自动相关监视广播（ADS-B）进离场轨迹在线计算得到的，未与外部数据源进行交叉验证。当无法识别对应机场时，**origin**（出发地）与**destination**（目的地）字段将留空。航空器信息源自OpenSky航空器数据库（OpenSky Aircraft Database），当航空器未收录于该数据库时，**typecode**（机型代码）与**registration**（航空器注册号）字段将留空。 **数据集说明** 数据集按月以逗号分隔值（CSV）格式提供单个文件，包含以下字段： **callsign**（航班呼号）：空中交通管制（ATC）屏幕上显示的航班识别码（通常前三位字母为航空公司代码，例如AFR代表法国航空、DLH代表汉莎航空等） **number**（航班编号）：航班商业编号，若可获取；呼号与编号的匹配信息源自公开开放应用程序编程接口（API） **aircraft_uid**（航空器唯一标识符）：航空器的匿名唯一标识符 **typecode**（机型代码）：航空器型号代码，若可获取 **origin**（出发机场代码）：航班出发机场的四位字母代码，若可获取 **destination**（到达机场代码）：航班到达机场的四位字母代码，若可获取 **firstseen**（首次接收时间戳）：OpenSky网络（OpenSky Network）接收到第一条航空器报文的协调世界时（UTC）时间戳 **lastseen**（末次接收时间戳）：OpenSky网络接收到最后一条航空器报文的协调世界时时间戳 **day**（报文日期）：接收到最后一条航空器报文的协调世界时日期 **latitude_1**、**longitude_1**、**altitude_1**：航空器首次被监测到的纬度、经度与飞行高度 **latitude_2**、**longitude_2**、**altitude_2**：航空器最后一次被监测到的纬度、经度与飞行高度 **示例** 更多详细的数据说明与可视化示例可访问以下页面：<https://traffic-viz.github.io/scenarios/covid19.html> **致谢与引用要求** 若使用本数据集，请引用以下原始OpenSky相关论文： Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic 与 Matthias Wilhelm. 《Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research》 发表于：第13届IEEE/ACM国际传感器网络信息处理研讨会（IPSN）论文集，第83-94页，2014年4月。 以及用于生成本数据集的traffic库： Xavier Olive. 《traffic, a toolbox for processing and analysing air traffic data.》 《开源软件期刊》（*Journal of Open Source Software*）4(39)，2019年7月。
