Graceful Degradation of Air Traffic Operations: Airspace Sensitivity to Degraded Surveillance Systems

Abstract It is shown that various sensors are used to ensure air traffic control in civil aviation, namely: primary and secondary radars, multilateration surveillance systems, automatic dependent surveillance systems of broadcast and contract types, multistatic radars. Based on the analysis of the main disadvantages of the considered systems, it was concluded that the use of multilateration aircraft surveillance systems (MLAT) is promising. The need to improve the reliability of MLAT is noted. The work proposes a method of structural and informational redundancy of MLAT based on the introduction of an additional receiver into its design. It allows to measure the distance to the aircraft using the energy method. The analysis of increasing the reliability of MLAT at various redundancy rates is carried out.

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Aviation Weather Surveillance Systems: Advanced Radar and Surface Sensors for Flight Safety and Air Traffic Management

10.2514/4.473401 ◽

1999 ◽

Author(s):

Dusan Zrnic ◽

Pravas Mahapatra ◽

Richard Doviak ◽

Vladislav Mazur

Keyword(s):

Traffic Management ◽

Air Traffic Management ◽

Air Traffic ◽

Flight Safety ◽

Surveillance Systems ◽

Aviation Weather

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Modeling and Simulation of the Impact of Air Traffic Operations on the Environment

Air Traffic Control Quarterly ◽

10.2514/atcq.20.4.285 ◽

2012 ◽

Vol 20 (4) ◽

pp. 285-310 ◽

Cited By ~ 2

Author(s):

Banavar Sridhar ◽

Neil Y. Chen ◽

Hok K. Ng ◽

Alexander Morando

Keyword(s):

Modeling And Simulation ◽

Air Traffic ◽

Traffic Operations ◽

The Impact

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The setting of the task of detection and prevention of dangerous proximity as part of a prospective air traffic management system

Informacionno-technologicheskij vestnik ◽

10.21499/2409-1650-2018-2-25-34 ◽

2018 ◽

pp. 25-34

Author(s):

A. V. Strukova

Keyword(s):

Traffic Management ◽

Management System ◽

Air Traffic Management ◽

Air Traffic ◽

Surveillance Systems ◽

Systematic Description ◽

System A ◽

Traffic Management System ◽

New Generation

The article deals with the tasks of detection and prevention of dangerous encounters as part of a prospective air traffic management system. A systematic description of the introduction of a new generation of communication, navigation and surveillance systems that provides technical capabilities for the modernization of the air traffic management system is given.

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A Non-Linear Relationship between Controller Workload and Traffic Count

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120504901206 ◽

2005 ◽

Vol 49 (12) ◽

pp. 1129-1133 ◽

Cited By ~ 9

Author(s):

Paul U. Lee

Keyword(s):

Linear Relationship ◽

Traffic Management ◽

Air Traffic Management ◽

Air Traffic ◽

Limiting Factor ◽

Traffic Operations ◽

Objective Metrics ◽

Non Linear ◽

Perceived Workload ◽

Using Data

Controller workload has been a focal topic in air traffic management research because it is considered a key limiting factor to capacity increase in air traffic operations. Because workload ratings are subjective and highly prone to individual differences, some researchers have tried to replace workload with more objective metrics, such as aircraft count. A significant caveat in substituting these metrics for workload ratings, however, is that their relationships are non-linear. For example, as the number of aircraft increases linearly, the controller's perceived workload jumps from low to high at a certain traffic threshold, resulting in a stepfunction increase in workload with respect to aircraft count, suggesting that controllers perceive workload categorically. The non-linear relationship between workload and aircraft count has been validated using data collected from a recent study on the En Route Free Maneuvering concept element (Lee, Prevot, Mercer, Smith, & Palmer, 2005). The results suggest that objective metrics, such as aircraft count, may not be used interchangeably with subjective workload. In addition, any estimation on workload should not be extrapolated from a set of workload measures taken from an experiment since the extrapolated workload is likely to significantly underestimate workload.

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