Robust Traffic Flow Management: Coevolutionary Approach

Period of Performance: 01/01/2008 - 12/31/2008

$99.9K

Phase 1 SBIR

Recipient Firm

Metron Aviation, Inc.
45300 Catalina Court, Suite 101
Dulles, VA 20166
Principal Investigator
Firm POC

Abstract

We will develop a Coevolutionary Decision Support Tool (CDST) that explicitly incorporates weather uncertainty (non-probabilistically) into strategic Traffic Flow Management (TFM) and automatically generates robust rerouting strategies for the National Airspace System (NAS) operating in inclement weather. The CDST will utilize coevolutionary algorithms (CEAs) (an emerging class of algorithms extending traditional genetic algorithms) to concurrently search the solution spaces of aircraft routing strategies and hazardous weather scenarios. By using the tool, Airline Operations Control (AOC) and Air Traffic Control System Command Center (ATCSCC) Traffic Management Unit (TMU) personnel can achieve two key strategic TFM objectives: