scholarly journals Systems support decision making air traffic controllers at air traffic control

2008 ◽  
Vol 34 (1) ◽  
Author(s):  
В.П. Харченко ◽  
В.А. Лазоренко
Aerospace ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 170
Author(s):  
Ricardo Palma Fraga ◽  
Ziho Kang ◽  
Jerry M. Crutchfield ◽  
Saptarshi Mandal

The role of the en route air traffic control specialist (ATCS) is vital to maintaining safety and efficiency within the National Airspace System (NAS). ATCSs must vigilantly scan the airspace under their control and adjacent airspaces using an En Route Automation Modernization (ERAM) radar display. The intent of this research is to provide an understanding of the expert controller visual search and aircraft conflict mitigation strategies that could be used as scaffolding methods during ATCS training. Interviews and experiments were conducted to elicit visual scanning and conflict mitigation strategies from the retired controllers who were employed as air traffic control instructors. The interview results were characterized and classified using various heuristics. In particular, representative visual scanpaths were identified, which accord with the interview results of the visual search strategies. The highlights of our findings include: (1) participants used systematic search patterns, such as circular, spiral, linear or quadrant-based, to extract operation-relevant information; (2) participants applied an information hierarchy when aircraft information was cognitively processed (altitude -> direction -> speed); (3) altitude or direction changes were generally preferred over speed changes when imminent potential conflicts were mitigated. Potential applications exist in the implementation of the findings into the training curriculum of candidates.


1978 ◽  
Vol 22 (1) ◽  
pp. 485-485
Author(s):  
John G. Kreifeldt

The present national Air Traffic Control system is a ground-centralized, man intensive system which through design allows relatively little meaningful pilot participation in decision making. The negative impact of this existing design can be measured in delays, dollars and lives. The FAA's design plans for the future ATC system will result in an even more intensive ground-centralized system with even further reduction of pilot decision making participation. In addition, controllers will also be removed from on-line decision making through anticipated automation of some or all of this critical function. Recent congressional hearings indicate that neither pilots nor controllers are happy or sanguine regarding the FAA's design for the future ATC system.


1980 ◽  
Vol 33 (3) ◽  
pp. 475-481
Author(s):  
P. Bertolazzi ◽  
M. Lucertini

The major purpose of an air traffic control system is to ensure the separation of two or more aircraft flying in the same airspace, with an efficiency that can be expressed in terms of capacity and cost. As air traffic grows in numbers it becomes necessary to reduce the workload of the controllers by relieving them of many monitoring tasks, and eventually some decision-making tasks, through computerized automation. In this context many developments tend to build up an efficient conflict-alert subsystem.The problem of conflict-alert in the air needs strategic tools, to make collision unlikely or even impossible, and tactical tools to detect impending collisions. The latter detect potentially hazardous aircraft encounters and alert the controller in time to warn the pilots (if necessary) and should obviously provide this capability with a minimal number of false alarms and no increase in workload.


Author(s):  
Stefan Lehmann ◽  
Scott Bolland ◽  
Roger Remington ◽  
Michael Humphreys ◽  
Selina Fothergill ◽  
...  

Author(s):  
Jonny Kuo ◽  
Michael G. Lenné ◽  
Rama Myers ◽  
Anna Collard-Scruby ◽  
Courtney Jaeger ◽  
...  

This study examined the utility of continuous operator state monitoring in predicting air traffic control officer (ATCO) workload and fatigue. Participants (N=8) were observed in live operational air traffic control environments for 60-minute periods. ATCO state was assessed using a real-time, computer vision-based system which tracked operator gaze and pupil diameter. Workload and fatigue were also assessed via the adapted Bedford Workload Scale and Samn-Perelli Fatigue Scale, respectively. Standard deviation of gaze was a significant predictor of both max and mean workload, showing a strong negative relationship with both subjective measures. Pupil diameter showed a significant positive relationship with operator fatigue. Our findings demonstrate the utility of continuous ocular metrics of workload and fatigue in operational environments.


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