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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
GRATIS per la spedizione da Germania a Italia
Destinazione, tempi e costiEUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiDa: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher. Codice articolo 5129068/1
Quantità: 1 disponibili
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher. Codice articolo 5129068/2
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alam SameerDr. Sameer Alam is a Research Fellow at the University of New nSouth Wales, Australian Defence Force Academy, Australia. He nholds M.Tech. and Ph.D. in Computer Science. He has published nover 10 research papers. He is a r. Codice articolo 4950186
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639022551
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639022551
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9783639022551_new
Quantità: Più di 20 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9783639022551
Quantità: Più di 20 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783639022551
Quantità: 2 disponibili
Da: Chiron Media, Wallingford, Regno Unito
Paperback. Condizione: New. Codice articolo 6666-IUK-9783639022551
Quantità: 10 disponibili
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Mar3113020185218
Quantità: Più di 20 disponibili