A Model of Unmanned Aircraft Pilot Detect and Avoid Maneuver Decisions

Abstract

For unmanned aircraft to share airspace with manned aircraft, extensive testing is first required to ensure that such vehicles can fly safely with manned traffic. Safe operation includes not only avoiding collisions with other traffic but also complying with the Federal Aviation Regulations to remain well clear of other traffic. One method for investigating the safety of unmanned aircraft operations is fast-time Monte Carlo simulation of encounters between unmanned and manned aircraft. As part of that simulation, one must model how the pilots of unmanned aircraft react to the encounters. To that end, an empirical, rule-based stochastic model of responses of unmanned aircraft pilots has been constructed based on data collected from a succession of human-in-the-loop experiments. This report details the main elements of that model and demonstrates its use in a safety analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 24, 2017
Accession Number
AD1080987

Entities

People

  • Donald E. Maki
  • Maria P. Kuffner
  • Randal E. Guendel

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Cognition
  • Collision Avoidance Systems
  • Computational Science
  • Ground Control Stations
  • Guidance
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Psychology
  • Safety Analysis
  • Simulations
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Space