By Topic

Generation of realistic air traffic scenarios using a genetic algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

Traffic flow management decision support tools such as the user request evaluation tool (URET), developed by the MITRE Center for Advanced Aviation Systems Development, and the Center-TRACON automation system (CTAS), developed by the NASA/Ames Research Center, use simulation as a tool for development, technical assessment, and field evaluation. Air traffic scenarios, based on recorded live data, are used to test these decision support tools. Frequently the scenarios need to be modified in order to create aircraft-to-aircraft encounters and conflicts that are not present in the live data. This paper presents an implementation of a genetic algorithm that is being used to time-shift the flights within an air traffic scenario to create encounters with specific constrained characteristics. These constraints are the distributions of the horizontal and vertical closest points of approach, the encounter angle at the closest point of horizontal approach, and the vertical type of encounter. This paper describes how the genetic algorithm was implemented, including a description of the solution chromosome and of the fitness function used to measure the potential solutions. After describing the implementation, a specific example of its use is presented.

Published in:

Digital Avionics Systems Conference, 2002. Proceedings. The 21st  (Volume:1 )

Date of Conference:

2002