Assessing air traffic control system safety with system controllability

Jingjing Guo, Karen Marais, Steve Landry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In safety critical systems, such as air traffic control systems and nuclear power plants, accidents are prevented in part by using system control to move the system from undesirable states to desirable states. This “system control-ability” is a result of the system’s composition and configuration and can potentially be used as a safety indicator. In this paper, we propose a probabilistic metric to evaluate a system’s controllability, Probabilistic System Controllability (PSC). We develop a framework for quantitative safety assessment in complex systems using PSC. To demonstrate the metric’s utility, we apply the framework to three different system configurations for collision avoidance air traffic control systems. The result shows that, in a pending collision scenario, a system with both automation and controller has lower controllability, than a system with automation only. This conclusion reinforces the observation of the Überlingen Mid-Air Collision Accident that redundancy in systems can result in less safety.

Original languageEnglish (US)
Title of host publication15th AIAA Aviation Technology, Integration, and Operations Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103698
DOIs
StatePublished - 2015
Event15th AIAA Aviation Technology, Integration, and Operations Conference, 2015 - Dallas, United States
Duration: Jun 22 2015Jun 26 2015

Publication series

Name15th AIAA Aviation Technology, Integration, and Operations Conference

Conference

Conference15th AIAA Aviation Technology, Integration, and Operations Conference, 2015
CountryUnited States
CityDallas
Period6/22/156/26/15

All Science Journal Classification (ASJC) codes

  • Energy(all)
  • Aerospace Engineering

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