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Meeting	ACGS Committee Meeting 99 - Boulder - March 2007
Agenda Location	8 SUBCOMMITTEE C – AVIONICS AND SYSTEM INTEGRATION 8.1 Metrics Based Approach for Evaluating Air Traffic Control Automation of the Future
Title	Metrics Based Approach for Evaluating Air Traffic Control Automation of the Future
Presenter	Paglione/Stan Pszczolkowski
Affiliation	FAA Technical Center
Available Downloads*	presentation
	Downloads are available to members who are logged in and either Active* or attended this meeting.
Abstract	The Federal Aviation Administration (FAA) is in the process of replacing the current enroute air traffic control automation system. This system, the heart of the National Airspace System (NAS), was installed in approximately 1970 and has been modified, enhanced and upgraded since. The replacement – Enroute Automation Modernization (ERAM) – will be the largest and most complex system in the NAS. There are 1,298 requirements in the System Level Specification that will translate into an estimated 1,200,000 source lines of code. Due to this size, complexity and schedule constraints the execution of an effective test program is a challenge. A Metrics Based approach has been undertaken with a cross functional team of subject matter experts. Metrics have been sorted by High Priority (i.e. direct link to external requirements, significance of effect, directly observable by the controller, etc.) and Low Priority (i.e. contribute to a high priority metric, not directly observable, etc.). These metrics include both the accuracy of calculations and computer-human interface functions. The Metrics Based approach not only provides benefits to the ERAM efforts but also will serve as a basis of future Next Generation Air Transportation System evaluations. An initial task determined the accuracy of the current aircraft tracker in order to establish a baseline for ERAM performance assessments. Post-processed GPS data from the Reduced Vertical Separation Minimum (RVSM) certification efforts was compared to data extracted from the current enroute automation system. This included 265 flights in January and February 2005 with data from all 20 Enroute Air Traffic Control Centers. There was a significant effort in the synchronization and the translation to a common coordinate system of the independently collected RVSM data and the data extracted from the current center automation systems. The results indicate a normal distribution of cross-track errors but a negatively skewed “half-normal” distribution of along track errors.