NDLI: Optimizing integrated terminal airspace operations under uncertainty

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Optimizing integrated terminal airspace operations under uncertainty

Content Provider	NASA Technical Reports Server (NTRS)
Author	Zelinski, Shannon Xue, Min Bosson, Christabelle
Copyright Year	2014
Description	In the terminal airspace, integrated departures and arrivals have the potential to increase operations efficiency. Recent research has developed geneticalgorithm- based schedulers for integrated arrival and departure operations under uncertainty. This paper presents an alternate method using a machine jobshop scheduling formulation to model the integrated airspace operations. A multistage stochastic programming approach is chosen to formulate the problem and candidate solutions are obtained by solving sample average approximation problems with finite sample size. Because approximate solutions are computed, the proposed algorithm incorporates the computation of statistical bounds to estimate the optimality of the candidate solutions. A proof-ofconcept study is conducted on a baseline implementation of a simple problem considering a fleet mix of 14 aircraft evolving in a model of the Los Angeles terminal airspace. A more thorough statistical analysis is also performed to evaluate the impact of the number of scenarios considered in the sampled problem. To handle extensive sampling computations, a multithreading technique is introduced.
File Size	381356
Page Count	19
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_20140017292
Archival Resource Key	ark:/13960/t05x7b27q
Language	English
Publisher Date	2014-10-05
Access Restriction	Open
Subject Keyword	Air Traffic Optimization Stochistic Scheduling Integrated Terminal Airspace Operations Statistical Analysis Stochastic Processes Feasibility Analysis Scheduling Routes Air Traffic Control Consecutive Events Genetic Algorithms Computer Programs Aircraft Approach Spacing Software Engineering System Effectiveness Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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