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Journal articles on the topic 'Air traffic controller selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Durso, Francis T., and Carol A. Manning. "Air Traffic Control." Reviews of Human Factors and Ergonomics 4, no. 1 (October 2008): 195–244. http://dx.doi.org/10.1518/155723408x342853.

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Determining how the controller (or air navigation service provider) of the future will function in tomorrow's Next Generation Air Transportation System (NextGen) will require an understanding of the existing literature. In this chapter, after an analysis of the controller's job, we focus on technology, which is an important factor in air traffic control (ATC) today and will become increasingly so in NextGen. We then turn to workload and the extent to which it can be predicted. From human-technology interaction and workload, we move to the multiple facets of cognition thought to underlie these and other aspects of the controller's job. Beyond individual cognition, we review collaboration among controllers and discuss both synchronous cooperation and the cooperative shift change. As we move up the system, we look at error, risk, and safety. Finally, we consider the work on controller selection, covering both “select-in” (KSAOs) and “select-out” (e.g., medical and suitability) factors. For NextGen to be successful, human factors researchers must determine from today's research how the human operator can best function to provide ATC services in the future.

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2

Pecena, Yvonne, Doris Keye, Kristin Conzelmann, Dietrich Grasshoff, Peter Maschke, Alexander Heintz, and Hinnerk Eißfeldt. "Predictive Validity of a Selection Procedure for Air Traffic Controller Trainees." Aviation Psychology and Applied Human Factors 3, no. 1 (January 1, 2013): 19–27. http://dx.doi.org/10.1027/2192-0923/a000039.

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The job of an air traffic controller (ATCO) is very specific and demanding. The assessment of potential suitable candidates requires a customized and efficient selection procedure. The German Aerospace Center DLR conducts a highly selective, multiple-stage selection procedure for ab initio ATCO applicants for the German Air Navigation Service Provider DFS. Successful applicants start their training with a training phase at the DFS Academy and then continue with a unit training phase in live traffic. ATCO validity studies are scarcely reported in the international scientific literature and have mainly been conducted in a military context with only small and male samples. This validation study encompasses the data from 430 DFS ATCO trainees, starting with candidate selection and extending to the completion of their training. Validity analyses involved the prediction of training success and several training performance criteria derived from initial training. The final training success rate of about 79% was highly satisfactory and higher than that of other countries. The findings demonstrated that all stages of the selection procedure showed predictive validity toward training performance. Among the best predictors were scores measuring attention and multitasking ability, and ratings on general motivation from the interview.

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3

No authorship indicated. "Review of Selection of Air Traffic Controllers." Contemporary Psychology: A Journal of Reviews 30, no. 6 (June 1985): 504. http://dx.doi.org/10.1037/023889.

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4

Čekanová, Daniela, Žaneta Miženková, Ľubomír Fábry, and Róbert Rozenberg. "Psychological Aspects Operating on the Air Traffic Controller in Reintegration into Action After The Accident." MAD - Magazine of Aviation Development 4, no. 20 (October 17, 2016): 21. http://dx.doi.org/10.14311/mad.2016.20.04.

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<span lang="EN-US">The aim of the article is to analyze the psychological aspects of an air traffic controller who controls aircraft, communicates with the crew and encounters the incidents of different nature or even accidents. The work of the air traffic controller requires a high level of responsibility and tension which can often lead to stress and trauma. The first part of this article is highlighting the complexity of the profession and passes to the next section, which explains the context of workload, stress and trauma. Long-term stress and traumatic experience of ATC maybe harmful or contribute to early resignation from work. The selection of suitable candidates and their preparation for the profession of air traffic controller is so demanding that their work and psychological aspects require increased attention from the side of the research.</span>

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5

Carretta, Thomas R., and Raymond E. King. "Improved Military Air Traffic Controller Selection Methods as Measured by Subsequent Training Performance." Aviation, Space, and Environmental Medicine 79, no. 1 (January 1, 2008): 36–43. http://dx.doi.org/10.3357/asem.2166.2008.

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6

Seamster, Thomas L., Richard E. Redding, and Dana L. Broach. "Effects of Performance Strategies on the Air Traffic Control Simulation Test." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 21 (October 1996): 1092–96. http://dx.doi.org/10.1177/154193129604002110.

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A key component of the FAA's selection battery for air traffic controller trainees is the air traffic simulation test (ATST), developed as a job sample and simulation of air traffic control tasks. This study determined whether candidates taking the ATST could be taught strategies to help them achieve superior test performance. In this study, 51 participants completed a two day strategy training and testing session. The experimental group received explicit strategy training, and the control group received equivalent practice but with no strategy training. Strategy training improved key aspects of ATST performance. Training on simple strategies allowing automatic information processing was successful at improving some key aspects of ATST performance, while training on more complex strategies requiring controlled processing did not improve performance. Implications for future research and for short-term strategy training for technical tasks is discussed.

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7

Keye, D., K. Conzelmann, D. Grasshoff, H. Eißfeldt, A. Heintz, and P. Maschke. "Validity of the selection procedure for air traffic controllers." Personality and Individual Differences 60 (April 2014): S46. http://dx.doi.org/10.1016/j.paid.2013.07.138.

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8

Ackerman, Phillip L. "Abilities and Individual Differences in Complex Skill Acquisition." Proceedings of the Human Factors Society Annual Meeting 36, no. 12 (October 1992): 921–25. http://dx.doi.org/10.1518/107118192786750313.

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A theoretically - driven, information processing based examination of ability - performance relations during the acquisition of a high - fidelity complex air traffic controller simulation task is described. Two laboratory experiments and one field experiment are reviewed that describe the results of extensive ability testing (including measures of general, reasoning, spatial, perceptual speed, and perceptual/psychomotor abilities) and individual differences in skill acquisition over protracted skill-learning sessions. Laboratory studies examine individual differences in the acquisition of skills on TRACON® - a Terminal Radar Approach Controller simulation. The field investigation examines acquisition of skills by FAA Air Traffic Controller Trainees. Results are reported from perspective of global/component abilities, and global/component criterion task performance measures. Results validate and further extend the Ackerman (1988) theory of the cognitive ability determinants of individual differences in skill acquisition. This research program demonstrates the benefits of ability component and task component levels of analysis over global analyses of ability - skill relations. Implications are discussed for developing refined selection instruments for the prediction of air traffic controller training success, and for other job tasks with demands for inconsistent information processing, as well as implications for design of tailored training procedures.

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9

Yuan, Yuan, Zhi Yong Liu, Huai Kun Xiang, and Ze Feng Ding. "Traffic Survey System Based on GPS, GPRS and GIS." Advanced Materials Research 328-330 (September 2011): 989–97. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.989.

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Referring to research findings of existing traffic survey instrument, this paper bases on electronic traffic survey counter to insert GPRS module, micro-program controller, vehicle type selection keyboard and direction selection keyboard, and utilizes computer technology to establish data processing platform, studies and designs the traffic survey system on the basis of GPS, GPRS and GIS. This system can realize real-time monitoring on surveyors, accurate and timely transmission and processing of survey data, and automatic analysis and management of survey data.

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10

Ackerman, Phillip L., and Ruth Kanfer. "Integrating laboratory and field study for improving selection: Development of a battery for predicting air traffic controller success." Journal of Applied Psychology 78, no. 3 (1993): 413–32. http://dx.doi.org/10.1037/0021-9010.78.3.413.

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11

Yan, Yonggang, Yi Mao, Zhiyuan Shen, Yitao Wei, Guozhuang Pan, and Jinfu Zhu. "A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing." Journal of Healthcare Engineering 2021 (September 25, 2021): 1–10. http://dx.doi.org/10.1155/2021/2292710.

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Air traffic controller fatigue has recently received considerable attention from researchers because it is one of the main causes of air traffic incidents. Numerous research studies have been conducted to extract speech features related to fatigue, and their practical utilization has achieved some positive detection results. However, there are still challenges associated with the applied speech features usually being of high dimension, which leads to computational complexity and inefficient fatigue detection. This situation makes it meaningful to reduce the dimensionality and select only a few efficient features. This paper addresses these problems by proposing a high-efficiency fatigued speech selection method based on improved compressed sensing. For adapting a method to the specific field of fatigued speech, we propose an improved compressed sensing construction algorithm to decrease the reconstruction error and achieve superior sparse coding. The proposed feature selection method is then applied to optimize the high-dimension fatigued speech features based on the fractal dimension. Finally, a support vector machine classifier is applied to a series of comparative experiments using the Civil Aviation Administration of China radiotelephony corpus to demonstrate that the proposed method provides a significant improvement in the precision of fatigue detection compared with current state-of-the-art approaches.

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12

Cosic, Kresimir, Marko Sarlija, Vladimir Ivkovic, Quan Zhang, Gary Strangman, and Sinisa Popovic. "Stress Resilience Assessment Based on Physiological Features in Selection of Air Traffic Controllers." IEEE Access 7 (2019): 41989–2005. http://dx.doi.org/10.1109/access.2019.2907479.

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13

Arinicheva, Olga V., Alina E. Gerasimenkova, Alexey V. Malishevsky, and Mikhail G. Chepik. "Possible ways of improving the reliability of professional psychological selection of air traffic controllers." Dependability 18, no. 1 (February 20, 2018): 38–45. http://dx.doi.org/10.21683/1729-2646-2018-18-1-38-45.

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14

Fisher, Donald L., and Nancy S. Tanner. "Optimal Symbol Set Selection: A Semiautomated Procedure." Human Factors: The Journal of the Human Factors and Ergonomics Society 34, no. 1 (February 1992): 79–95. http://dx.doi.org/10.1177/001872089203400109.

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A new model of the visual search process is developed which can improve the design of large symbol sets such as those used by nuclear power plant personnel, air traffic controllers, and battlefield troops. An experiment was conducted to determine whether the new, componential model or an already existing, discriminability model better explains visual search behavior. The results were consistent with the componential model. We show how to use the componential model to help automate selection of the optimal symbol set (i.e., the symbol set that minimizes the average time to find a target).

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15

Cosic, Kresimir, Sinisa Popovic, Marko Sarlija, Igor Mijic, Mirko Kokot, Ivan Kesedzic, Gary Strangman, Vladimir Ivkovic, and Quan Zhang. "New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements." IEEE Access 7 (2019): 174873–88. http://dx.doi.org/10.1109/access.2019.2957357.

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16

Kang, Ziho, Ellen J. Bass, and Douglas W. Lee. "Air traffic controllers’ visual scanning, aircraft selection, and comparison strategies in support of conflict detection." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, no. 1 (September 2014): 77–81. http://dx.doi.org/10.1177/1541931214581017.

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17

Zasjad’ko, K. I., A. V. Bogomolov, S. K. Soldatov, A. P. Vonarshenko, A. F. Borejchuk, and M. N. Jazljuk. "Changes in indicators of intonation structure of speech in occupational activity of air traffic control operators." Occupational Health and Industrial Ecology, no. 1 (March 14, 2019): 31–37. http://dx.doi.org/10.31089/1026-9428-2019-1-31-37.

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Introduction.The study is aimed to determine possible use of vocal signal analysis for diagnosis of functional states in air traffic control operators, with justifying selection of informative parameters of intonation structure of speech.Materials and methods.Experiments on semi-natural simulator complex with participation of 16 air traffic male dispatchers modelled occupational activity of air traffic dispatcher with moderate (6 aircrafts controlled) and intense (7–12 aircrafts controlled) work load. Duration of simulated working shiftwas 6 hours. Registration covered characteristics of main vocal tone of the examinees, with calculation of 8 jitter-factors that portrayed mirco-changes of main vocal tone curve and 2 tremor indices disclosing periodic waves of 4–16 Hz in main vocal tone curve. Functional state of the dispatchers was assessed via cardiac rhythm parameters. Reliability and work capacity of the dispatchers corresponded to correct radio traffi c, changes in threshold of reception and transfer of aircrafts in number of allowable dangerous approach of aircrafts, time to detection of input aircraft’s deviation from preset flight line.Results and discussion.According to analysis of the experiments results, some parameters of the main vocal tone carried significant changes both in first (simulated moderate work load) and second (simulated intense work load) experimental series.The data obtained prove lower level of psychic regulation of the dispatchers’ occupational activity during 3rd to 5thhours of “working shift” in the first experimental series and from 2nd to 4thhours of the second experimental series, due to decreased psychophysiologic resources and developing fatigue.Conclusion.Studies of changes in indicators of intonation structure of speech in occupational activity of air traffic dispatchers demonstrated that using such indicators provides adequate diagnosis of the functional state. The most informative indicators are average value, histogram asymmetry and excessive frequency of main vocal tone, duration of pauses between words of the dispatchers’ commands and fi ft h jitter-factor.

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18

Byrne, Cristina L., and Linda G. Pierce. "An Examination of the Impact of Option Preference on Success in FAA ATC Academy Training." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 1487–91. http://dx.doi.org/10.1177/1541931213601341.

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In 2014, the Federal Aviation Administration (FAA) modified the selection and placement process for newly hired air traffic controllers. Among other procedural changes, the way new hires were assigned to the air traffic options (i.e., en route vs. terminal) changed significantly from previous placement practices. This study looks at the reactions of students regarding their option placements under the new system. In particular, their original option preference, actual option assigned, satisfaction with their actual option placement, and intentions to switch options later on in their career were assessed with a brief survey. The relationship of their responses to these items and their first performance indicator (i.e., passing/failing at the Academy) was also examined.

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19

O'Brien, Janelle Viera, and Christopher D. Wickens. "Free Flight Cockpit Displays of Traffic and Weather: Effects of Dimensionality and Data Base Integration." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (October 1997): 18–22. http://dx.doi.org/10.1177/107118139704100105.

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In any Free Flight system, pilots must have displays which effectively depict traffic and weather information as more and more responsibility for separation from such hazards transfers from air traffic controllers to pilots. This research effort seeks to address the issues of dimensionality (3D versus 2D coplanar displays) and data base integration (separation or integration of traffic and weather information within displays). Seventeen general aviation flight instructors flew a series of en route trials with four display types in which dimensionality, data base integration, and hazard geometries were manipulated. Analysis of the data revealed that the 2D displays resulted in a smaller percentage of conflicts with traffic and weather hazards. The results also suggested that displays in which traffic and weather were integrated resulted in fewer hazard conflicts for trials in which both hazard types were critical to maneuver selection. Maneuver strategy was also found to vary by scenario geometry.

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20

Bruder, Carmen, Hinnerk Eißfeldt, Peter Maschke, and Catrin Hasse. "A Model for Future Aviation." Aviation Psychology and Applied Human Factors 4, no. 1 (January 1, 2014): 13–22. http://dx.doi.org/10.1027/2192-0923/a000051.

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In the future in aviation, operators will have to work with highly automated systems. This increased level of automation will necessitate operators monitoring appropriately (OMA). To prepare future training and selection processes, a normative model was developed providing criteria for the identification of OMA. According to this model, the monitoring process comprises distinct monitoring phases in which attention should be focused on relevant areas. The present study tests the normative model with experienced human operators in aviation on the basis of their eye movements. Results from 21 participants (air traffic controllers and pilots) support this normative model of OMA. In this regard, the normative model provides a promising basis for personnel selection and training in future ATM scenarios.

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21

Mittelstädt, Justin Maximilian, Yvonne Pecena, Viktor Oubaid, and Peter Maschke. "Construct Validity of the Temperament Structure Scales Within the Big Five Framework in Aerospace Selection." Aviation Psychology and Applied Human Factors 6, no. 2 (September 2016): 68–80. http://dx.doi.org/10.1027/2192-0923/a000101.

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Abstract. The Temperament Structure Scales (TSS) are used in the selection of pilots, air traffic controllers, and astronauts at the German Aerospace Center (DLR). As there is evidence for the predictive validity of the TSS, its relationship with the popular Big Five factors as indicators of construct validity is investigated. Two samples comprising either European astronaut candidates (N = 902) or German pilot candidates (N = 249) were used. Analyses show consistent commonalities of several TSS scales with four Big Five factors (Neuroticism, Extraversion, Agreeableness, Conscientiousness). The TSS cover most of the broad Big Five factors and additionally provide a more detailed and suitable profile with unique constructs for the selection of aerospace personnel. The TSS are thus recommended for use without additional personality inventories that measure the broad Big Five factors only.

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22

Riedel, T., M. Takahashi, and E. Itoh. "Reducing speed commands in interval management with speed planning." Aeronautical Journal 124, no. 1272 (October 21, 2019): 189–215. http://dx.doi.org/10.1017/aer.2019.124.

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ABSTRACTFlight-deck Interval Management (FIM) is a modern airborne self-spacing technology that improves arrival route throughput and runway utilisation and increases hourly arrival capacity by up to four aircraft per hour and per runway, compared to conventional air traffic controller guided arrivals. The National Aeronautics and Space Administration (NASA) has been the leader in FIM research and formulated a logic that was put to an actual flight test in 2017. Despite the overall success of the project, operational deficiencies concerning the number of speed commands, which led to several recommendations for future research before operational implementation, were discovered. In this study, a new logic that implements a two-stage rule-based selection algorithm was developed to overcome those deficiencies. The proposed logic was compared to NASA’s logic on an arrival in Tokyo International Airport with multiple induced error patterns. The results indicate that the new logic significantly decreases the number of speed commands with only minor aggravations in spacing performance. The results that highlight the strengths and weaknesses of both concepts are discussed, and an outlook on and ideas for future research on FIM and the proposed logic are presented.

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23

Sharma, Arvind, R. K. Gupta, and Akhilesh Tiwari. "Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1564516.

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There are many techniques available in the field of data mining and its subfield spatial data mining is to understand relationships between data objects. Data objects related with spatial features are called spatial databases. These relationships can be used for prediction and trend detection between spatial and nonspatial objects for social and scientific reasons. A huge data set may be collected from different sources as satellite images, X-rays, medical images, traffic cameras, and GIS system. To handle this large amount of data and set relationship between them in a certain manner with certain results is our primary purpose of this paper. This paper gives a complete process to understand how spatial data is different from other kinds of data sets and how it is refined to apply to get useful results and set trends to predict geographic information system and spatial data mining process. In this paper a new improved algorithm for clustering is designed because role of clustering is very indispensable in spatial data mining process. Clustering methods are useful in various fields of human life such as GIS (Geographic Information System), GPS (Global Positioning System), weather forecasting, air traffic controller, water treatment, area selection, cost estimation, planning of rural and urban areas, remote sensing, and VLSI designing. This paper presents study of various clustering methods and algorithms and an improved algorithm of DBSCAN as IDBSCAN (Improved Density Based Spatial Clustering of Application of Noise). The algorithm is designed by addition of some important attributes which are responsible for generation of better clusters from existing data sets in comparison of other methods.

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24

Botella, Juan, María José Contreras, Pei-Chun Shih, and Víctor Rubio. "Two Short Tests Fail to Detect Vigilance Decrements." European Journal of Psychological Assessment 17, no. 1 (January 2001): 48–55. http://dx.doi.org/10.1027//1015-5759.17.1.48.

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Summary: Deterioration in performance associated with decreased ability to sustain attention may be found in long and tedious task sessions. The necessity for assessing a number of psychological dimensions in a single session often demands “short” tests capable of assessing individual differences in abilities such as vigilance and maintenance of high performance levels. In the present paper two tasks were selected as candidates for playing this role, the Abbreviated Vigilance Task (AVT) by Temple, Warm, Dember, LaGrange and Matthews (1996) and the Continuous Attention Test (CAT) by Tiplady (1992) . However, when applied to a sample of 829 candidates in a job-selection process for air-traffic controllers, neither of them showed discriminative capacity. In a second study, an extended version of the CAT was applied to a similar sample of 667 subjects, but also proved incapable of properly detecting individual differences. In short, at least in a selection context such as that studied here, neither of the tasks appeared appropriate for playing the role of a “short” test for discriminating individual differences in performance deterioration in sustained attention.

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25

Yang, Da Peng, Ping Bo Sun, and Ke Qiang Hua. "Model Predictive Control of Flight Arrival Interval." Advanced Materials Research 503-504 (April 2012): 1375–80. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1375.

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In order to achieve the automation of Air Traffic Control (ATC), use system to identify the controlled model of flights arrival process which has been already built, using Model Predictive Control (MPC) of the dynamic matrix contro1 (DMC) to control the ATC process. According to DMC algorithm and the features of ATC, the design parameters of this system can be determined by a lot of simulations. It proves that the system design and parameters selection make the system has the required performance and the robustness even if the parameters be changed in a wide range. The experiment on the ATC Simulation System proves that the MPC method is available, conclusion of the study provides a new idea and method for the engineering implementation of the automation of flights arrival process control and some improvement of airspace utilization.

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26

Corver, Sifra Christina, Dana Unger, and Gudela Grote. "Predicting Air Traffic Controller Workload." Human Factors: The Journal of the Human Factors and Ergonomics Society 58, no. 4 (April 13, 2016): 560–73. http://dx.doi.org/10.1177/0018720816639418.

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27

Subramanya, S., Xiaotao Wu, H. Schulzrinne, and S. Buriak. "VoIP-based air traffic controller training." IEEE Communications Magazine 47, no. 11 (November 2009): 148–55. http://dx.doi.org/10.1109/mcom.2009.5307479.

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28

Wang, Yanjun, Frizo Vormer, Minghua Hu, and Vu Duong. "Empirical analysis of air traffic controller dynamics." Transportation Research Part C: Emerging Technologies 33 (August 2013): 203–13. http://dx.doi.org/10.1016/j.trc.2012.04.006.

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29

Bregman, Howard L., Warren L. McCabe, and William G. Sutcliffe. "Capturing Air Traffic Controller Expertise for Incorporation in Automated Air Traffic Control Systems." Proceedings of the Human Factors Society Annual Meeting 32, no. 16 (October 1988): 1031–35. http://dx.doi.org/10.1177/154193128803201608.

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Under Federal Aviation Administration (FAA) sponsorship, MITRE's Human Performance Assessment Group is contributing to the design of an expert system to support air traffic control. We are working closely with a team of expert, full-performance-level air traffic controllers to capture the formal and informal rules they use in maintaining flight safety and efficiency. This paper documents our approach to working with these experts, the results of using that approach, and a distillation of lessons learned.

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30

Xiang, Zheng, Wei Jun Pan, and Yu Tang. "Application of Controller Pilot Data Link Communication in the Training for Air Traffic Controller." Advanced Materials Research 616-618 (December 2012): 2162–65. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2162.

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The application of Controller Pilot Data Link Communication (CPDLC) in the training for air traffic controller is investigated. CPDLC is a data link application that allows for the direct exchange of text-based messages between a controller and a pilot. It greatly improves communication capabilities compared to traditional voice communication, in terms of reducing communication errors and pilot workload, improving the efficiency of airspace management and providing economic benefits. As traffic volume in the airspace becomes saturated, it is necessary to adopt CPDLC as the primary communication method and air traffic controllers should be trained accordingly. In the presented work, the features of CPDLC are introduced as well as the structure of CPDLC system is illustrated, and a novel framework for training air traffic controller with CPDLC system is proposed. It is seen that air traffic controller can be trained with lower workload, fewer mistakes and more flexibility using CPDLC system.

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31

Janić, Milan. "A model of air traffic control sector capacity based on air traffic controller workload." Transportation Planning and Technology 20, no. 4 (December 1997): 311–35. http://dx.doi.org/10.1080/03081069708717596.

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32

Susetyadi, Ari, and Yati Nurhayati. "Kebutuhan Personel Air Traffic Controller (ATC) Di Bandara Sultan Mahmud Badaruddin II Palembang." Warta Penelitian Perhubungan 24, no. 5 (May 14, 2019): 474. http://dx.doi.org/10.25104/warlit.v24i5.1027.

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Assessment of personnel needs of air traffic controllers (ATC) at the Sultan Mahmud Airport Badaruddin II Palembang is to find out how many number of needs of air traffic controllers (ATC) at the Sultan Mahmud Airport Badaruddin II Palembang that has with standards / regulations by the !CAO to support flight operations in order to ensure flight safety. Assessment method was quantitative method with the decomposition of descriptive, exposure and explanation in detail based on the compilation of primary data and secondary data that have been processed. The results of the assessment show that air traffic controller (ATC) at the Sultan Mahmud Airport Badaruddin II Palembang is still not adequate, there is still lack of abaout 11 air traffic controller (ATC) personnel at the Sultan Mahmud Badaruddin II Palembang Airport.Keywords : air traffic controller (ATC), Sultan Mahmud Badaruddin II Palembang Airport Pengkajian tentang kebutuhan personel air traffic controller (ATC) di Bandara Sultan Mahmud Badaruddin II Palembang adalah untuk mengetahui bagaimana jumlah kebutuhan air traffic controller (ATC) di Bandara sultan Mahmud Badaruddin II Palembang apakah telah memenuhi standar/peraturan yang ditetapkan oleh ICAO untuk mendukung kegiatan operasi penerbangan dalam rangka menjamin keselamatan penerbangan. Metode pengkajian yang digunakan adalah metode kuantitatif dengan penguraian ( deskriptif), pemaparan dan penjelasan secara rind berdasarkan kompilasi data primer dan data sekunder yang telah diolah. Hasil pengkajian menunjukan personel air traffic controller (ATC) di Bandara sultan Mahmud Badaruddin II Palembang masih belum memadai, yakni masih terdapat kekurangan sekitar 11 personel air traffic controller (A TC) di Bandara sultan Mahmud Badaruddin II Palembang. Kata Kunci: air traffic controller (ATC),Bandara Sultan Mahmud Badaruddin II Palembang

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Susanto, Primadi Candra, Prasadja Ricardianto, Hartono Hartono, and Ryan Firdiiansyah. "PERANAN AIR TRAFFIC CONTROL UNTUK KESELAMATAN PENERBANGAN DI INDONESIA." Aviasi : Jurnal Ilmiah Kedirgantaraan 17, no. 1 (February 1, 2021): 1–11. http://dx.doi.org/10.52186/aviasi.v17i1.54.

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Tujuan penelitian ini adalah untuk mengetahui peranan Air Traffic Control Untuk Keselamatan Penerbangan di Indonesia, Penerbangan merupakan sarana transportasi yang sudah dalam kondisi tidak aman (unsafe condition). Keselamatan merupakan hal yang harus diutamakan dalam dunia penerbangan. Untuk menciptakan keselamatan penerbangan, maka dibentuklah pelayanan pemandu lalu lintas udara yang disebut dengan Air Traffic Controller dan dianggap sebagai salah satu pekerjaan yang memiliki tuntutan kerja tinggi dan merupakan salah satu profesi yang memiliki tingkat stres tinggi dikarenakan beban tanggung jawab pekerjaan Air Traffic Controller sangat berat. Stress merupakan efek dari beban kerja yang tinggi. Stress akan meningkat jika terjadi sesuatu hal seperti cuaca yang buruk untuk penerbangan dan peralatan navigasi dan komunikasi yang tidak berfungsi dengan baik, sistem rotasi shift yang tidak sesuai atau tidak berjalan sebagaimana mestinya. Pekerjaan Air Traffic Controller membutuhkan aktivitas mental (dimensi Mental Demand) yang tinggi seperti berpikir, memutuskan, menghitung, mengingat, dan melihat atau memantau dalam melakukan pekerjaannya. Metode penelitian ini merupakan studi literatur dengan membandingkan beberapa teori yang ada, penelitian sebelumnya dan wawancara dengan beberapa narasumber. Hasil temuan ada persoalan teknis pada SDM Air Traffic Controller, Solusi untuk mengurangi tingkat beban kerja mental yang tinggi ialah dengan mempercanggih sistem peralatan radar, pengaturan shift kerja, dan perbaikan kebiasaan individual operator Air Traffic Controller ketika bekerja. Dari penelitian ini dapat disimpulkan, bahwa Seorang Air Traffic Controller idealnya harus memiliki stres kerja yang rendah. Resiko pekerjaan yang tinggi dan melibatkan nyawa orang banyak menjadi beban dan tanggung jawab tersendiri bagi seorang Air Traffic Controller.

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34

Seamster, Thomas L., John R. Cannon, Richard M. Pierce, and Richard E. Redding. "Analysis of En Route Air Traffic Controller Team Communication and Controller Resource Management (CRM)." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (October 1992): 66–72. http://dx.doi.org/10.1177/154193129203600117.

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This analysis of en route air traffic controller communication was part of a larger Federal Aviation Administration effort to redesign the training program for en route air traffic control. This presentation concentrates on the analysis and results of the team communications as they relate to Controller Resource Management (CRM). The team controller communication takes place between the radar controller and the radar associate controller as they perform their related tasks in the management of the sector air traffic. This study used an inductive approach to look at communication frequencies across different types of controller teams. The controller teams were manipulated by using different combinations of expert, intermediate, and novice controllers, and these teams were compared under moderate and heavier workloads while managing simulated air traffic. The team communications were coded and analyzed at the speech turn level. Observations, situational inquiry, and answers supplying information combined to make up over half of the speech turns used by the controllers in team communication. A more detailed analysis by controller position and performance identified communication frequencies for the better performing sessions. These results are interpreted in relation to a recent mental model of the en route air traffic controller and are further explained based on results of a study of live traffic team communication. The discussion explores the roles of the team members in maintaining effective CRM.

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Majumdar, Arnab, Washington Y. Ochieng, Gérard McAuley, Jean Michel Lenzi, and Catalin Lepadatu. "The Factors Affecting Airspace Capacity in Europe: A Cross-Sectional Time-Series Analysis Using Simulated Controller Workload Data." Journal of Navigation 57, no. 3 (August 24, 2004): 385–405. http://dx.doi.org/10.1017/s0373463304002863.

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Air traffic in Europe is increasing at a rapid rate and traffic patterns no longer display pronounced daily peaks but instead exhibit peak spreading. Airspace capacity planning can no longer be for the peak period but must consider the whole day. En route airspace capacity in the high density European air traffic network is determined by controller workload. Controller workload is primarily affected by the features of the air traffic and ATC sector. This paper considers the air traffic and ATC sector factors that affect controller workload throughout the whole day. A simulation study using the widely used Reorganized ATC Mathematical Simulator (RAMS) model of air traffic controller workload is conducted for the Central European Air Traffic Services (CEATS) Upper Area Control Centre region of Europe. A cross-sectional time series analysis of the simulation output is conducted with corrections for temporal autocorrelation in the data. The results indicate that a subset of traffic and sector variables and their parameter estimates can be used to predict controller workload in any sector of the CEATS region in any given hour.

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Huang, Haomiao, and Claire J. Tomlin. "Hybrid System Model of Air Traffic Controller Cognition." Transportation Research Record: Journal of the Transportation Research Board 2184, no. 1 (January 2010): 13–21. http://dx.doi.org/10.3141/2184-02.

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Mirchi, Tannaz, Kim-Phuong Vu, James Miles, Lindsay Sturre, Sam Curtis, and Thomas Z. Strybel. "Air Traffic Controller Trust in Automation in NextGen." Procedia Manufacturing 3 (2015): 2482–88. http://dx.doi.org/10.1016/j.promfg.2015.07.509.

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Stein, Earl S., and Randy L. Sollenberger. "Another Look at air Traffic Controller Performance Evaluation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 12 (October 1996): 574–78. http://dx.doi.org/10.1177/154193129604001204.

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This paper describes a study that evaluated the reliability of a recently developed rating form designed to assess air traffic controller performance. Six supervisors from different radar approach control facilities nationwide viewed 20 video tapes of controllers working traffic from a previously recorded simulation study. The observer/raters used a new evaluation form that consisted of 24 different rating scales measuring specific areas of controller performance. An important part of this study was observer training. The training consisted of practice rating sessions followed by group discussions. In discussion, observers established mutual evaluation criteria for each performance area. Inter-rater reliability was assessed using intraclass correlations, and intra-rater reliability was assessed using Pearson product-moment correlations on repeated video tapes. In general, the reliability of the form was quite good, however, a few rating scales were much less reliable than the others. Reasons for the differences in rating scale reliability are discussed.

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Kim, Minji, Sungkwon Hong, and Keumjin Lee. "Probabilistic Model for Air Traffic Controller Sequencing Strategy." Journal of the Korean Society for Aviation and Aeronautics 22, no. 3 (September 30, 2014): 8–14. http://dx.doi.org/10.12985/ksaa.2014.22.3.008.

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Triyanti, V., H. A. Azis, H. Iridiastadi, and Yassierli. "Workload and Fatigue Assessment on Air Traffic Controller." IOP Conference Series: Materials Science and Engineering 847 (May 28, 2020): 012087. http://dx.doi.org/10.1088/1757-899x/847/1/012087.

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Surabattula, Deepti, Michael Kaplan, and Steven J. Landry. "Controller Interventions to Mitigate Potential Air Traffic Conflicts." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 54, no. 1 (September 2010): 40–44. http://dx.doi.org/10.1177/154193121005400110.

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Martin, Lynne, Thomas Kozon, Savita Verma, and Sandra Lozito. "Using Models to Explore Air Traffic Controller Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, no. 3 (October 2006): 396–400. http://dx.doi.org/10.1177/154193120605000339.

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Pratama, Muhammad Dzikra Yaza, Abdul Hakim Yassi, and Hamzah A. Machmoed. "Code switching applied by air traffic controller in air navigation services." IOP Conference Series: Earth and Environmental Science 575 (October 29, 2020): 012170. http://dx.doi.org/10.1088/1755-1315/575/1/012170.

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Stonor, Thomas. "Air Traffic Control Today and Tomorrow." Journal of Navigation 44, no. 2 (May 1991): 143–51. http://dx.doi.org/10.1017/s0373463300009887.

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Life is more intense today than was shown in the film, and direction finding is somewhat more precise. We now know where aircraft are, rather than where they were some minutes earlier, (for at least most of the time!) and not every air traffic controller we employ speaks like an early BBC announcer.

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Bruce, D. S., Norman E. Freeberg, and Donald A. Rock. "An Explanatory Model for Influences of Air Traffic Control Task Parameters on Controller Work Pressure." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 1 (October 1993): 108–12. http://dx.doi.org/10.1177/154193129303700126.

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Data were obtained in an operational air traffic control (ATC) setting from seven (7) FAA Air Route Traffic Control Centers (ARTCCs) for 65 air space sectors within those centers. Measures used for study analysis were obtained during 90 minute data collection sessions and included: (a) ATC system inputs in the form of time of day, facility location, air traffic volume and air traffic configurational complexity, (b) the presence of a single radar controller or a two-person controller team, (c) work activity parameters obtained as frequencies of occurrence for tasks involving communications, computer interactions, flight strip activities and handoffs, and (d) controller performance outcomes based on observed performance pressures exhibited by the controller. A hypothesized path (causal) model incorporating the above variables was constructed and tested for its explanatory value. Computations of direct effects within the model showed generally significant linkages between work activities and traffic volume, level of traffic complexity, and controller configuration (e.g. higher levels of traffic volume and complexity, and the presence of a controller team were associated with higher levels of task activity). Most consistently significant, however, in its causal linkages to work activity was air traffic complexity. This was the dominant predictor, by far, of rated controller performance pressure when all other variables - including traffic volume - were accounted for by the analysis method. The time of day and facility location variables were erratic in their effect and difficult to interpret. On the basis of the study results, it was recommended that further research focus on development of the application of air traffic complexity as a measurement construct of potentially unique importance; one which seems to have been little understood and generally neglected in the research literature.

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Melissa, Anaria Carini, Toto Hardiyanto Subagyo, Hadi Suharno, and Suharto Abdul Majid. "PENERAPAN SAFETY MANAGEMENT SYSTEM (SMS) DAN KOMPETENSI PEMANDU LALU LINTAS PENERBANGAN." JURNAL MANAJEMEN TRANSPORTASI DAN LOGISTIK 4, no. 1 (June 7, 2017): 89. http://dx.doi.org/10.25292/j.mtl.v4i1.54.

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The objective of the research is to analyze the influence between Implementation of Safety Management System (SMS) and Competency of Air Traffic Controller towards Aviation Safety at Perum LPPNPI Main Branch JATSC. Type of research is quantitative research by means of surveys, where data obtained through a questionnaire that will be distributed On Air Traffic Controller Perum LPPNPI Main Branch JATSC. The population in this research is an Air Traffic Controller Perum LPPNPI Main Branch JATSC totaled 356 (Three Hundred and Fifty Six) people. The sample taken is 100 (hundred) people. Data collected through the instrument in the form of a questionnaire. Methods of data analysis performed in this study using correlation and regression. The results of data analysis can be concluded that : (1) Implementation of Safety Management System (SMS) has a positive and significant impact on Aviation Safety (2) Competency of Air Traffic Controller has a positive and significant impact on Aviation Safety (3) Implementation of the Safety Management System (SMS) and Competency of Air Traffic Controller has positive and significant impact together on Aviation Safety. The implications of the research are Aviation Safety can be improved by upgrading Implementation of Safety Management System (SMS) and Competency of Air Traffic Controller.

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Batubara, Khairunnisa. "PHRASEOLOGY DISCOURSE IN AIR TRAFFIC CONTROLLERâ€™S COMMUNICATION." BAHTERA : Jurnal Pendidikan Bahasa dan Sastra 18, no. 1 (January 1, 2019): 59–69. http://dx.doi.org/10.21009/bahtera.181.05.

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ABSTRACT This writing deals with the types of phraseology in air traffic controllerâ€™s communication. The objective of this writing is to find out the types of phraseology used in communication between ATC of KNIA and pilot. The source of this writing is an air traffic controller of KNIA. The data of this writing are the communication between controller and pilot which spoken in statements or commands called phraseology (words and phrases). Descriptive qualitative method is applied as a qualitative design in conducting this research. The instrument of data collection is voice recorder to record the data. Keywords: phraseology, air traffic controller, communication

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Faieza, Aziz Abdul, S. N. Rashid, and N. Zulkifli. "Communication System Improvement for Air Traffic Service to Provide a Continuous Surveillance over the Oceanic Area." Applied Mechanics and Materials 564 (June 2014): 604–7. http://dx.doi.org/10.4028/www.scientific.net/amm.564.604.

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Air traffic service is an extra-ventricular service which regulates and assists aircraft in real time to ensure their safe operations. The importance of the air traffic service is to prevent collision between aircraft and to expedite and maintain an orderly flow of the air traffic. The objective of this project is to assess the effectiveness of the installed system in assisting the air traffic controller in providing the air traffic service. In order to achieve this objective, the Automatic Dependent Surveillance and Controller Pilot Data Link Communication (ADS/CPDLC) system has been installed and its functionality to provide continuous surveillance and communication has been evaluated. A survey of 35 air traffic controllers had participated to assess the effectiveness of the system to the air traffic controller. The results showed that over 80% of the air traffic controllers agree that the system is able to provide a continuous surveillance and continuous communication over the oceanic area. Apart from that, 60% of the air traffic controllers agree the reduced separation minima can be applies over the oceanic area by using the application of the system. Base on this result, reduced separation minima over the oceanic area can be applied in order to expedite and maintain an orderly flow of air traffic over the oceanic area.

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Ardhiani, Lusi Nur, Galuh Rita Kumala, and Nur Makie Perdana. "ANALISIS KUALITATIF PENERAPAN SITUATION AWARENESS PADA AKTIVITAS KERJA AIR TRAFFIC CONTROLLER (ATC)." SEURUNE: Jurnal Psikologi UNSYIAH 2, no. 1 (July 19, 2019): 16–32. http://dx.doi.org/10.24815/s-jpu.v2i1.13270.

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Berdasarkan fakta yang dirilis oleh Airport Council International (ACI), Indonesia memasuki peringkat ke-17 bandar udara dengan lalu lintas terpadat di dunia. Pengontrol lalu lintas udara atau air traffic controller (ATC) merupakan salah satu pihak yang paling berperan dalam mengatur kepadatan lalu lintas di jalur udara Indonesia. Penelitian ini bertujuan untuk mengetahui penerapan Situation Awareness (SA) pada aktivitas kerja sehari-hari air traffic controller di dunia penerbangan. Model yang digunakan dalam penelitian ini adalah studi kasus konklusif deskriptif. Data dikumpulkan melalui wawancara terhadap delapan orang yang berprofesi sebagai air traffic controller (ATC) dari Air-Nav Indonesia maupun TNI-AU. Hasil verbatim wawancara kemudian dikoding dan diinterpretasi serta dianalisis dengan menggunakan teori serta data-data dari penelitian pendahulu. Penelitian ini menghasilkan data deskripsi perilaku maupun situasi yang teridentifikasi sebagai aspek maupun indikator penting dalam penerapan tiga level situation awareness pada aktivitas kerja air traffic controller (ATC). Aspek-aspek dan indikator-indikator tersebut kemudian dikelompokkan pada tabel yang terbagi dalam tiga level Situation Awareness. Data yang dihasilkan dapat digunakan untuk mendesain alat ukur, pelatihan, penelitian, maupun evaluasi guna meningkatkan kewaspadaan air traffic controller.Kata kunci: Situation Awareness, Tiga level, Air Traffic Control

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Kong, Jian Guo, Huang Liu, and Xiao Yu Zheng. "Risk Assessment of Error Forgetting and Omitting of Manufacturing Controller." Applied Mechanics and Materials 214 (November 2012): 475–80. http://dx.doi.org/10.4028/www.scientific.net/amm.214.475.

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The objectives of Air Traffic Control are to prevent collisions between aircrafts, including collisions between aircrafts and obstructions, maintain and expedite an orderly flow of air traffic. The controller “error, forgetting, omitting” may lead to traffic conflict, or even more severe consequences. This paper is based on the actual situation of air traffic control operation unit. It systematically analyzes the various causes that result in “error, forgetting, omitting”. Then establish a risk assessment model combined with Bayesian network to assess the “error, forgetting, omitting” of air traffic control system, in order to reduce and even preclude the phenomenon that happens.

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