Improved Conflict Detection for Reducing Operational Errors in Air Traffic Control

2004 ◽  
Author(s):  
Russell Paielli ◽  
Heinz Erzberger
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Conflict Detection ◽  
Air Traffic ◽  
Operational Errors

Design of a conflict-detection air traffic control tool for the implementation of continuous climb operations: A case study at Palma TMA

2019 ◽  
Vol 233 (13) ◽  
pp. 4839-4852 ◽  
Author(s):  
Javier A Pérez-Castán ◽  
Fernando Gómez Comendador ◽  
Álvaro Rodríguez-Sanz ◽  
Rocío Barragán ◽  
Rosa M Arnaldo-Valdés
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Conflict Detection ◽  
Air Traffic ◽  
Traffic Flows ◽  
Control Intervention ◽  
Static Approach ◽  
Operational Concept ◽  
The Impact ◽  
Control Tool

Continuous climb operation is an operational concept that allows airlines to perform an optimal departing trajectory avoiding air traffic control segregation requirements. This concept implies the design and integration of air traffic flows for the sake of safety performance. This paper designs a new conflict-detection air traffic control tool based on the blocking-area concept, characterises the conflict probability between air traffic flows and assesses the impact of continuous climb operation integration in a terminal manoeuvring area. In this paper, a conflict is set out by the infringement of vertical and longitudinal separation minima and coincides with the probability of air traffic control tool usage. Moreover, this research discusses two different approaches for the conflict-detection air traffic control tool: a static approach considering nominal continuous climb operations and landing trajectories, and a dynamic approach that assesses 105 continuous climb operations and landing trajectories. Finally, the air traffic control tool is implemented using Palma TMA data and proves that out of 11 intersections (between departing and landing routes), solely 4 generate vertical separation infringements. The conflict probability between continuous climb operations and arrivals is less than 10−5. Except for one intersection, that is roughly 10−2, similar to current air traffic control intervention designed levels. Therefore, results conclude the viability of the conflict-detection air traffic control tool and continuous climb operations integration.

An analysis of relational complexity in an air traffic control conflict detection task

Ergonomics ◽  
2006 ◽  
Vol 49 (14) ◽  
pp. 1508-1526 ◽  
Author(s):  
Christine Boag ◽  
Andrew Neal ◽  
Shayne Loft ◽  
Graeme S. Halford
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Conflict Detection ◽  
Detection Task ◽  
Air Traffic ◽  
Relational Complexity

Analysis of Operational Errors and Workload in Air Traffic Control

1992 ◽  
Vol 36 (17) ◽  
pp. 1321-1325 ◽  
Author(s):  
Richard E. Redding
Keyword(s):  
Situation Awareness ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Task Analysis ◽  
High Performance ◽  
Cognitive Task ◽  
Federal Aviation Administration ◽  
Air Traffic ◽  
Performance Tasks ◽  
Operational Errors

The Federal Aviation Administration has embarked on a major curriculum redesign effort to improve the training of en route air traffic controllers. Included in this effort was a cognitive task analysis. One component of the task analysis was an analysis of operational errors, to obtain insights into cognitive-perceptual factors contributing to controller decisionmaking error. The data suggest that a failure to maintain situation awareness is the primary cause of controller error. These results highlight the importance of the controller task “maintain situation awareness”, and are consistent with the findings of the other analyses. An approach for training situation awareness skills is presented in relation to models of expertise developed from other analyses: an expert mental model of air traffic control, and a task decomposition listing thirteen primary controller tasks. The findings and training paridigm have implications for training other complex high-performance tasks performed in a real-time, multi-tasking environment.

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