Distributed optimization and principled negotiation for advanced air traffic management

John P. Wangermann, Robert Frank Stengel

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

A game-theoretic model of aircraft/airspace system behavior is presented. The model demonstrates the benefits of a distributed approach to air traffic management. Principled negotiation between agents is proposed as the basis for allowing distributed optimization while maintaining coordination. Simulation results show that this approach allows a high level of user optimization, decreases controller work-load, and maintains coordination.

Original languageEnglish (US)
Pages156-161
Number of pages6
StatePublished - Dec 1 1996
EventProceedings of the 1996 IEEE International Symposium on Intelligent Control - Dearborn, MI, USA
Duration: Sep 15 1996Sep 18 1996

Other

OtherProceedings of the 1996 IEEE International Symposium on Intelligent Control
CityDearborn, MI, USA
Period9/15/969/18/96

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Wangermann, J. P., & Stengel, R. F. (1996). Distributed optimization and principled negotiation for advanced air traffic management. 156-161. Paper presented at Proceedings of the 1996 IEEE International Symposium on Intelligent Control, Dearborn, MI, USA, .