Air Traffic Simulation and Modelling | Evolving Complex Scenario for Evaluating Advanced Air Traffic Management Concepts

Sameer Alam

ISBN 10: 3639022556 / ISBN 13: 9783639022551

Published by VDM Verlag Dr. Müller, 2009

About this Item

Air Traffic Simulation and Modelling | Evolving Complex Scenario for Evaluating Advanced Air Traffic Management Concepts | Sameer Alam | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639022551 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101644258

Bibliographic Details

• Title: Air Traffic Simulation and Modelling | Evolving Complex Scenario for Evaluating Advanced Air Traffic Management Concepts
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639022556
• ISBN 13: 9783639022551
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 15W x 150H x 220D millimeters 15 millimeters width by 150 millimeters height by 220 millimeters depth
• Weight: 400 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Evaluation of advanced Air Traffic Management concepts is a challenging task due to the limitations in the existing scenario generation methodologies. Their rigorous evaluation on safety metrics, in a variety of complex scenarios, can provide an insight into their performance, which can help improve upon them while developing new ones. In this work, I propose an air traffic simulation system, with a novel representation of airspace, which can prototype advanced ATM concepts. I then propose a novel evolutionary computation methodology to algorithmically generate conflict scenarios of increasing complexity in order to evaluate conflict detection algorithms. I illustrate the methodology by quantitative evaluation of three conflict detection algorithms on safety metrics. I then propose the use of data mining techniques for the discovery of interesting relationships, that may exist implicitly, in the algorithm's performance data. This relationships are formed as a predictive model for algorithm's vulnerability which can then be included in an ensemble that can minimize the overall vulnerability of the system.