Safety risk modeling of an unmanned aircraft system (UAS) to support prisoner acquisition

Mark Trevena, Carl A. Luxhøj, James T. Luxhøj

Research output: Contribution to conferencePaperpeer-review

Abstract

Small Unmanned Aircraft Systems (sUAS) are becoming more popular in sectors outside of the military. With this increase in popularity and civilian access, regulating agencies such as the FAA are beginning to develop policies to integrate the aircraft safely into the nation's airspace. This paper explores one method for safety risk modeling of an sUAS operation to aid in developing such policies. The method includes creating a notional scenario, using a Hazard Classification and Analysis System (HCAS) to identify the hazards in the notional scenario, and creating a Bayesian Belief Network to calculate the probability of a Midair Collision (MAC). The hazards are grouped into four separate clusters, and the effects of these hazards on the probability of a MAC are explored. Further, mitigations are introduced into the model to determine the most effective methods for reducing the risk of a MAC.

Original languageEnglish (US)
Pages1747-1752
Number of pages6
StatePublished - 2018
Event2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018 - Orlando, United States
Duration: May 19 2018May 22 2018

Other

Other2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018
Country/TerritoryUnited States
CityOrlando
Period5/19/185/22/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Keywords

  • Bayesian Belief Networks
  • Safety Risk Modeling
  • Systems Analysis
  • UAS

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