DocumentCode
2534436
Title
Jaguar: Time shifting air traffic scenarios using a genetic algorithm
Author
Petzinger, B. ; Oaks, R. ; Nelson, N.
Author_Institution
Fed. Aviation Adm., Atlantic City Int´l Airport, Atlantic City, NJ, USA
fYear
2012
fDate
14-18 Oct. 2012
Abstract
This paper describes the redesign of the Federal Aviation Administration´s implementation of a genetic algorithm used for time shifting flights in air traffic scenarios. Time shifted scenarios are used in testing decision support tools that predict the potential loss of separation between aircraft. This paper describes the improvements that resulted when this application was redesigned and coded in Java. The improvements described in this paper include the following: Maintainability improved as a result of a modular design using object-oriented techniques. : Usability improved as a result of more efficient logging techniques, configuration methods, and user interfaces. : Quality of the solution improved as a result of a more accurate method for calculating of aircraft-to-aircraft conflicts. : Timeliness for obtaining a solution improved as a result of using modern software engineering techniques, such as distributing the fitness function across multiple processors and caching fitness scores.
Keywords
Java; aerospace computing; air traffic; genetic algorithms; multiprocessing systems; object-oriented methods; software engineering; user interfaces; Federal Aviation Administration; Jaguar; Java code; aircraft-to-aircraft conflict; caching fitness score; configuration method; fitness function; genetic algorithm; logging technique; modular design; multiple processor; object oriented technique; software engineering technique; time shifting air traffic scenario; time shifting flight; user interface; Aircraft; Approximation methods; Genetic algorithms; Probes; Sociology; Statistics; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems Conference (DASC), 2012 IEEE/AIAA 31st
Conference_Location
Williamsburg, VA
ISSN
2155-7195
Print_ISBN
978-1-4673-1699-6
Type
conf
DOI
10.1109/DASC.2012.6382328
Filename
6382328
Link To Document