Print Email Facebook Twitter Analysis of Airspace Structure and Capacity for Decentralized Separation Using Fast-Time Simulations Title Analysis of Airspace Structure and Capacity for Decentralized Separation Using Fast-Time Simulations Author Sunil, E. (TU Delft Control & Simulation) Ellerbroek, Joost (TU Delft Control & Simulation) Hoekstra, J.M. (TU Delft Control & Simulation) Arntzen, M. (TU Delft Aircraft Noise and Climate Effects) Date 2017 Abstract The work that is presented in this paper is part of an ongoing study on the relationship between airspace structure and capacity. The present paper investigates the degree of structuring needed to maximize capacity for decentralized en-routeairspace. To this end, four decentralized en-route airspace concepts, which vary in terms of the number of constrained degrees of freedom, were comparedusing fast-time simulations, for both nominal and non-nominal conditions. The airspace structure-capacity relationship was studied from the effect of multiple traffic demand densities on airspace metrics. The results indicated that structuring methods that over-constrained the horizontal path of aircraft reduced capacity, as traffic demand displays no predominant patterns in the horizontal dimension for decentralization. The results also showed that capacity was maximized when a vertical segmentation of airspace was used to separate traffic with different travel directions at different flight levels.This mode of structuring improved performance over completely unstructured airspace by reducing relative velocities between aircraft cruising at the same altitude,while allowing direct horizontal routes. To reference this document use: http://resolver.tudelft.nl/uuid:cd67f62d-00c5-4099-9025-d3b03eff31c8 DOI https://doi.org/10.2514/1.G000528 ISSN 0731-5090 Source Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control, 40 (1), 38-51 Part of collection Institutional Repository Document type journal article Rights © 2017 E. Sunil, Joost Ellerbroek, J.M. Hoekstra, M. Arntzen Files PDF Metropolis.pdf 3.17 MB Close viewer /islandora/object/uuid:cd67f62d-00c5-4099-9025-d3b03eff31c8/datastream/OBJ/view