This paper addresses the question of extracting "air traffic complexity" from given aircraft position and speed data. Airspace complexity aims at describing "how difficult" a given aircraft configuration is, from the standpoint of the air traffic controller working with or without aiding devices. In this paper, we attempt to find "airspace transforms", that is, maps from airspace configurations to graphics that extract and clearly display the state of the system relative to some measure of risk. Building on system-Theoretic concepts, fast optimization tools and the seminal work of John Andrews (Lincoln Laboratory), we propose a set of possible airspace transforms that appear to achieve this goal. We discuss how such transforms might be useful as decision aids. We also postulate scalar measures of "air traffic complexity" and illustrate our approach on a few examples.
|Original language||English (US)|
|Title of host publication||44th Annual Allerton Conference on Communication, Control, and Computing 2006|
|Publisher||University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering|
|Number of pages||6|
|State||Published - Jan 1 2006|