By Topic

Algorithms for air traffic flow management under stochastic environments

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
$33 $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)
A. Nilim ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA ; L. El Ghaoui

A major portion of the delay in air traffic management systems (ATMS) in the US arises from stochastic disturbances such as convective weather. However, in current practice, the predicted storm zones are completely avoided as if they are deterministic obstacles. As a result, the current strategy is too conservative and incurs a high delay. In this paper, we seek to reduce the system delay through explicitly modelling the dynamic and stochastic nature of the storms and adding recourse in the routing and flow management problem. We address the multi-aircraft flow management problem using a stochastic dynamic programming algorithm, where the evolution of the weather is modelled as a stationary Markov chain. Our solution provides a dynamic routing strategy for "N-aircraft" that minimizes the expected delay of the overall system while taking into consideration the constraints obtained by the sector capacities, as well as avoidance of conflicts among the aircraft. Our simulation suggests that a significant improvement in delay can be obtained by using our methods over the existing methods.

Published in:

American Control Conference, 2004. Proceedings of the 2004  (Volume:4 )

Date of Conference:

June 30 2004-July 2 2004