The Relationship Between Traffic Stability and Capacity for Decentralized Airspace

Emmanuel Sunil, Jerom Maas, Joost Ellerbroek, Jacco Hoekstra, Martijn Tra

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

The work that is presented in this paper is part of an ongoing study on the relationship between structure and capacity of decentralized airspace concepts. In this paper, the effect of traffic stability, which considers the occurrence of conflict chain reactions as a result of conflict resolution maneuvers, on capacity is examined closely. Using the domino effect parameter as a measure of traffic stability, a model relating stability and capacity is derived. Although the derivation of this model is not complete, its current form shows that traffic stability, and therefore capacity, is also affected by the safety and efficiency characteristics of decentralized concepts. This suggests that the capacity measurement of decentralized concepts must consider the variation of intrinsic system-wide properties with density, using a minimum of safety, efficiency and stability metrics. Future work will continue the development of the model, and its validation using large-scale simulation experiments.
Original languageEnglish
Title of host publication7th International Conference on Research in Air Transportation
Subtitle of host publicationPhiladelphia, USA
Number of pages4
Publication statusPublished - 2016
Event7th International Conference on Research in Air Transportation - Drexel University, Philadelphia, United States
Duration: 20 Jun 201624 Jun 2016
Conference number: 7
http://www.icrat.org/icrat/index.cfm
http://www.icrat.org/icrat/7th-international-conference/

Conference

Conference7th International Conference on Research in Air Transportation
Abbreviated titleICRAT 2016
Country/TerritoryUnited States
CityPhiladelphia
Period20/06/1624/06/16
Internet address

Keywords

  • separation management
  • airspace capacity measurement
  • self-separation
  • traffic stability
  • decentralized traffic management;
  • Domino Effect Parameter (DEP)

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