Future ATC automation aids based upon AI technology

Article Abstract:

The first air traffic control (ATC) system components to be automated were radar data processing, flight data processing and display data processing, but more recently such safety enhancements as conflict alert, en route minimum safe altitude warning, conflict resolution and Mode C intruder have been made. All are algorithm-based and use standard software. The US Federal Aviation Administration (FAA) is now applying artificial intelligence (AI) and expert system technology to ATC automation aids. A simulation system for control radar training, the Automated En Route Air Traffic Control System (AERA-2) and an automated system for detecting low-level wind shear along with Doppler Weather radars are the first such programs. The use of expert systems in the control radar training and AERA-2 systems is described here; the third will be discussed in a future issue. UFA Inc's ATCoach1 system now in place at Logan Airport in Boston and at FAA headquarters is examined.

Artificial intelligence, Expert systems, Radar, Simulation, Aircraft, Radar Systems

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Advanced automation system design

Article Abstract:

The US Federal Aviation Administration is developing the Advanced Automation System (AAS) to improve its air traffic control towers, terminal radar approach control and en route air traffic control facilities. The area control computer complex (ACCC) is preceded by the initial sector suite system, which is intended to facilitate migration to ACCC. The AAS was designed to provide extremely high functional availability and have very fast response times. Several hardware configurations were examined by mapping the software architecture onto them, ranging from fully distributed to fully centralized. Controller workstation operation autonomy necessitated a high degree of local processing power; some applications will be handled by gateway processors, common console processors or centralized processors. The ACCC architecture is described.

Network architectures, Government Agency, Network Architecture

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