The Flow Management Problem in Air Traffic Control

  • Amedeo R. Odoni
Part of the NATO ASI Series book series (volume 38)

Abstract

A system of flow management is one of the most promising short-term approaches to alleviating the severe network-wide congestion problems that air traffic in the United States and in Europe is currently experiencing. To design such a system one must address the flow management problem (FMP), a description and discussion of which is the subject of this paper. Even simplified versions of the FMP, such as the “generic FMP” which is based on a “macroscopic” model, are very challenging. The problem is inherently stochastic and dynamic and requires a discretized representation of flows. Additional complications are caused by the need to consider the distributive effects of flow management strategies as well as by certain peculiar characteristics of the capacity/demand and flow conservation relationships associated with elements of the ATC network. A brief literature review indicates that research on the FMP is still in its very early stages.

Keywords

Europe Transportation Dispatch 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andreatta, G., and G. Rornanin-Jacur (1987) The Flow Management Problem. Transportation Science 21, to appear.Google Scholar
  2. Attwooll, V.W. (1977) Some mathematical aspects of air traffic systems. Journal of Institute of Navigation 30: 394–411.CrossRefGoogle Scholar
  3. Bianco, L. et al. (1981) New approaches to air traffic control management. Transport Research and Social and Economic Progress, London, S. Yerrel, Vol. 4: 2373–2384.Google Scholar
  4. Butler, J.F. (1987) An air traffic control simulator for the evaluation of flow management strategies. Flight Transportation Laboratory, Report 87–5, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  5. Cohen, Dayl and A.R. Odoni (1985) A survey of approaches to the airport slot allocation problem. Flight Transportation Laboratory, Report 85–3, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  6. Dear, Roger G. (1976) The dynamic scheduling of aircraft in the near terminal area. Flight Transportation Laboratory, Report 76–9, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  7. Federal Aviation Administration (1986) The national aviation system plan. U.S. Dept. of Transportation, Washington, D.C.Google Scholar
  8. Hormann, A. (1987) ATSAM (air traffic simulation analysis model). This Volume.Google Scholar
  9. Psaraftis, H.N. (1980) A dynamic programming approach for sequencing groups of identical jobs. Operations Research 28: 1347–1359.MathSciNetMATHCrossRefGoogle Scholar
  10. Simpson, R.W., A.R. Odoni and F. Salas-Roche (1986) Potential impacts of advanced technologies on the ATC capacity of high-density terminal areas. Flight Transportation Laboratory, Report 86–10, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  11. Sokkappa, B.G. (1985) Arrival flow management as a feedback control system, The MITRE Corporation, Washington, D.C.Google Scholar
  12. Trivizas, D.A. (1987) Parallel parametric combinatorial search: its application to runway scheduling. Flight Transportation Laboratory, Report 87–4, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Amedeo R. Odoni
    • 1
  1. 1.Operations Research Center (E40-169)Massachusetts Institute of TechnologyCambridgeUSA

Personalised recommendations