NDLI: Are air traffic models chaotic?

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Volume 2 - 2001

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Public key infrastructure for air traffic management systems

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Potential for the use of Internet protocols in aviation

Autonomy based human-vehicle interface standards for remotely operated aircraft

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Test results for an off the shelf GPS/INS during approach and landing testing of the X-40A

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Evolution of digital signal processing based spacecraft computing solutions

Leveraging flight heritage to new CompactPCI space systems: a fusion of architectures

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An integrated test approach for avionics system development

Automated model analysis and test generation for flight guidance mode logic

An air traffic management (ATM) system performance model

Challenges and visions for model-based integration of avionics systems

Winnowing tests: Getting quality coverage from a model checker without quantity

Software portability in open architectures

Efficient datalink security in a bandwidth-limited mobile environment - an overview of the Aeronautical Telecommunications Network (ATN) security concept

An integration framework for airport automation systems

Weapons system open architecture - using emerging open system architecture standards to enable innovative techniques for time critical target prosecution

Volume 1 - 2001

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Are air traffic models chaotic?

Content Provider	IEEE Xplore Digital Library
Author	Callaham, M.B. Wieland, F.
Copyright Year	2001
Description	Author affiliation: Mitre Corp., McLean, VA, USA (Callaham, M.B.)
Abstract	Network queueing models, including some models of air traffic, exhibit sensitivity to very small changes in the times of events that are nominally simultaneous, such as flight departures (pushbacks). Such models might exhibit chaotic behavior when the ordering of otherwise simultaneous (or closely spaced) departures are changed. This paper explores the question as to whether such models do, indeed, exhibit chaotic behavior, or whether the effect is bounded. This question is explored using an empirical study of delays in National Airspace System (NAS) simulations. The study consisted of 32 replications of a NAS scenario, in which scheduled departures were given a small pseudorandom pushback delay, independent across replications and across airports. The simulated scenario was a hypothetical one configured for a generally good weather day. The standard deviation of total (viz., 59-airport) at-gate delays is reported; it exceeds the simulated reduction in delay that would be produced by increasing arrival capacity by ten percent at any airport, except for the five most-congested airports. We further analyze the results to determine whether chaotic effects are manifest in the mathematical model.
File Size	703606
File Format	PDF
ISBN	0780370341
DOI	10.1109/DASC.2001.964213
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Chaos Airports Uncertainty Telecommunication traffic Logistics Difference equations Delay effects Scheduling Mathematical model
Content Type	Text
Resource Type	Article

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