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Air Transportation System Performance- Estimation and Comparative Analysis of Departure Delays [Paperback]

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Item description for Air Transportation System Performance- Estimation and Comparative Analysis of Departure Delays by Yufeng Tu...

The U.S. National Airspace System (NAS) is inherently highly stochastic. Yet, many existing decision-support tools for air traffic flow management take a deterministic approach to problem solving. This study aims to focus on the random and dynamic nature of flight departure delays to provide a more accurate picture of the airspace traffic situation, improve the prediction of the airspace congestion, and advance the level of decision making in aviation systems. Several models were proposed in this work based on the trends and patterns demonstrated by the delays. These models show reasonable goodness of fit, robustness to the choice of the model parameters, and good predictive capabilities. They could further advance the Enhanced Traffic Management System that is currently adopted by the Federal Aviation Administration. Mathematical algorithms used in this work can be adapted to similar problems in other fields. The book is addressed to professionals and researchers in Air Transportations and Statistics.

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Item Specifications...

Pages   108
Est. Packaging Dimensions:   Length: 9.37" Width: 6.61" Height: 0.31"
Weight:   0.53 lbs.
Binding  Softcover
Release Date   Jul 25, 2007
Publisher   VDM Verlag Dr. Mueller e.K.
ISBN  3836422301  
ISBN13  9783836422307  

Availability  97 units.
Availability accurate as of Oct 23, 2016 07:58.
Usually ships within one to two business days from La Vergne, TN.
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Reviews - What do customers think about Air Transportation System Performance- Estimation and Comparative Analysis of Departure Delays?

Great!  May 10, 2008
This book is great for anyone who is interested in modeling the air traffic system and controlling delays. It provides an innovative way to model the uncertainty. Within the "seemingly" random numbers, there are still patterns and trends. There are long-term trends and short-term patterns, plus random errors. It may sound very complex, but this study puts together all these factors in a clever way so that the model performs well. This study is also a great case of using Functional Data Analysis, which is an advanced methodology for analyzing time series and making predictions.

-Dr. Wang
Breakthrough Model for Air Traffic Control and Airline Departure Modeling  Apr 17, 2008
Those involved in decision support systems and statistical modeling of air traffic congestion, safety, and airline performance will find Dr. Tu's rigorous comparative analysis of departure delays an important, valuable, and fundamentally useful advance in our knowledge of such models and systems.

Departure delays play a critical role in arrival delays and have largely remained unexamined. To the extent that they have been considered, historical data has been used which tends to heighten sensitivity to specific random variation in the data.

Dr. Tu overcomes these and other issues in providing a new approach to characterizing the mechanisms that underly delays, and then modeling them using functional characterizations that yield seasonal and daily delay patterns. Although she uses a single airport/airline combination over a long time span, the model is applicable to other airport/airline combinations.

This work has important implications for improving air traffic congestion prediction and airline performance systems, as well as air traffic safety overall.

Dr. Fitzgerald

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