Abstract

Ongoing research is currently focused on the need to improve the strategic traffic flow management decision making processes. The research effort in this paper is part of a greater research initiative aimed at developing quantitative analysis and design capabilities for flow contingency management, which include the design of queuing network models. This paper proposes to use the concept of route assignment for managing aggregate air traffic demand and evaluating flow contingency plans generated by human decision makers. To determine how strategic traffic controls are captured and the computational requirements associated, a simulation experiment is conducted with realistic demand data and weather impact scenarios. System-wide performance results on a realistic plan of strategic control are analyzed, and the computational requirements of arc-based and route-based modeling choices will also be discussed.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.2514/6.2011-6863
http://ee.unt.edu/public/wan/paper/C32.pdf,
https://academic.microsoft.com/#/detail/2110438390
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Published on 01/01/2011

Volume 2011, 2011
DOI: 10.2514/6.2011-6863
Licence: CC BY-NC-SA license

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