By Topic

Intent-Based Probabilistic Conflict Detection for the Next Generation Air Transportation System

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)
Inseok Hwang ; Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN ; Seah, C.E.

The Next Generation Air Transportation System (NextGen) is a proposed transformation of air traffic operations to meet future growth. Under the NextGen, aircraft are expected to perform air traffic management tasks such as flight plan changes, trajectory prediction, and conflict detection. We propose a trajectory prediction algorithm for the NextGen that utilizes an aircraft dynamics model to account for changes in aircraft flight modes. This model is useful for short-term trajectory prediction and is able to account for the correlation in prediction errors due to aircraft maneuvers. We also utilize verified or inferred intents of aircraft to improve the trajectory prediction in the long term. We then propose a computationally efficient analytical algorithm to compute the conflict probability between any pair of maneuvering or nonmaneuvering aircraft. We demonstrate the computational efficiency and the accuracy of the proposed algorithm through various illustrative air traffic scenarios.

Published in:

Proceedings of the IEEE  (Volume:96 ,  Issue: 12 )