OpenSky报告2019:使用大数据分析现实世界中的TCAS

Matthias Schäfer, X. Olive, Martin Strohmeier, Matthew Smith, I. Martinovic, Vincent Lenders
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引用次数: 11

摘要

避碰是关系到全球空域安全的最重要的应用之一。尽管空中交通密度增加,但强制性空中避碰系统的引入大大降低了空中碰撞的可能性。在本文中,我们分析了开放天空网络在两周内从126,700架飞机接收到的2500亿个飞机应答器信息。我们使用这些数据来量化交通警报和碰撞避免系统(TCAS)的设备和使用情况,因为它在现实世界中工作。此外,我们还概述了OpenSky收集、解码和存储这些数据以供其他研究人员和航空当局使用的方法。我们观察到,大约89.5%装备ads - b的飞机拥有可操作的TCAS。我们进一步分析了TCAS的具体用途,通过检查几个案例研究,其中飞机之间的分离损失已经发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OpenSky Report 2019: Analysing TCAS in the Real World using Big Data
Collision avoidance is one of the most crucial applications with regards to the safety of the global airspace. The introduction of mandatory airborne collision avoidance systems has significantly reduced the likelihood of mid-air collisions despite the increase in air traffic density. In this paper, we analyze 250 billion aircraft transponder messages received from 126,700 aircraft by the OpenSky Network over a two-week period. We use this data to quantify equipage and usage aspects of Traffic Alert and Collision Avoidance System (TCAS) as it is working in the real world. We furthermore provide an overview of the methods used by OpenSky to collect, decode and store this data for use by other researchers and aviation authorities. We observe that around 89.5% of the ADS-B-equipped aircraft have an operational TCAS. We further analyze the concrete usage of TCAS by examining several case studies where a loss of separation between aircraft has happened.
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