Effectiveness of Automatic Safety Systems in Reducing General Aviation Fatalities

Author:

Fuller Justin G.1ORCID,Hook Loyd R.1ORCID

Affiliation:

1. University of Tulsa, Tulsa, Oklahoma 74011

Abstract

General aviation accounts for 95% of fatal aviation accidents in the United States. Many of these fatalities may be preventable with the inclusion of advanced advisory or automatic aircraft safety systems; however, past research has rarely focused on the effect such systems could have if applied to general aviation. This paper addresses this gap by starting with proposed safety systems and scoring their effectiveness using detailed accident data rather than the more common approaches of analyzing accident categories or polling subject matter experts. Using a data-driven logical model, this paper evaluates four systems (terrain impact prevention, upset prevention, turbulence avoidance, and emergency landing) for potential to reduce fatalities. The scoring process appears in some detail, which starts with system requirements and National Transportation Safety Board data as inputs and results in expected fatal accident reductions. The analysis estimates that implementing all four systems may result in a 66.5% reduction in general aviation fatalities, with terrain impact prevention alone resulting in a possible 30.7% reduction. These results motivate immediate effort toward implementation and certification of aircraft safety systems into general aviation, not only to save the lives of hundreds of pilots and passengers a year, but also to prime small aircraft transportation for future developments.

Funder

Federal Aviation Administration

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Reference55 articles.

1. “NTSB Aviation Accident Final Report CEN13LA034,” National Transportation Safety Board, 2013.

2. “2000-2019 Preliminary Aviation Statistics,” National Transportation Safety Board, 2020.

3. “CFIT JSAT Results and Analysis,” Commercial Aviation Safety Team, 1998.

4. “Loss of Control JSAT Results and Analysis,” Commercial Aviation Safety Team, 2000.

5. Aircraft Loss of Control Causal Factors and Mitigation Challenges

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using ADSB Data to Analyze the Potential for Nuisance in a Ground Collision Avoidance System;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3