Air Traffic Controller Agents

Abstract

Research sought to develop agents that can stand in for human air traffic controllers in large-scale simulation studies of advanced air traffic management concepts. The agents use a high-level activity model to structure the air traffic control task, and apply heuristics to plan and formulate clearances. Results indicate the agents handle traffic flow spacing problems well, but experience some difficulties managing complex merge' problems. Follow-on research on how such agents can make plausible errors to support safety analyses identified interesting aspects of agent performance in the face of errors. The research was supported by the NASA Aviation System Capacity Program and the FAA/NASA Aviation Safety Program.

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 2005
Accession Number
ADP020706

Entities

People

  • Todd J. Callantine

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Air Traffic
  • Air Traffic Controllers
  • Aircrafts
  • Altitude
  • Australia
  • Autonomous Agents
  • Aviation Safety
  • Clearances
  • High Altitude
  • Low Altitude
  • Multiagent Systems
  • Safety
  • Safety Analysis
  • Technical Information Centers
  • Traffic

Fields of Study

  • Computer science

Readers

  • Aviation Safety and Air Traffic Management
  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Theoretical Analysis.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers