scholarly journals Determining Air Traffic Complexity – Challenges and Future Development

2020 ◽  
Vol 32 (4) ◽  
pp. 475-485
Author(s):  
Bruno Antulov-Fantulin ◽  
Biljana Juričić ◽  
Tomislav Radišić ◽  
Cem Çetek

Air traffic complexity is one of the main drivers of the air traffic controllers’ workload. With the forecasted increase of air traffic, the impact of complexity on the controllers' workload will be even more pronounced in the coming years. The existing models and methods for determining air traffic complexity have drawbacks and issues which are still an unsolved challenge. In this paper, an overview is given of the most relevant literature on air traffic complexity and improvements that can be done in this field. The existing issues have been tackled and new solutions have been given on how to improve the determination of air traffic complexity. A preliminary communication is given on the future development of a novel method for determining air traffic complexity with the aim of designing a new air traffic complexity model based on air traffic controller tasks. The novel method uses new solutions, such as air traffic controller tasks defined on pre-conflict resolution parameters, experiment design, static images of traffic situations and generic airspace to improve the existing air traffic complexity models.

Author(s):  
Laurence Rognin ◽  
Karim Zeghal ◽  
Isabelle Grimaud ◽  
Eric Hoffman

Controller-in-the-loop experiments were conducted in order to assess the impact on air traffic controller activity of the delegation of spacing task to the flight deck. Three experiments involving a total of 18 European controllers during 7 weeks took place over the past two years. In addition to standard data analysis, a geographical-based analysis was introduced. It consisted in analysing the distribution of manoeuvring instructions and eye fixations as a function of their distance to the sector exit. This analysis confirmed assumptions that delegation leads to anticipate the building of the sequences, and to relieve the controller of maintaining these sequences. Although these initial results suggest a positive impact on controller activity, they still need to be complemented, typically with contextual analysis of monitoring through microscopic analysis of eye fixations.


Author(s):  
Paola Di Mascio ◽  
Riccardo Carrara ◽  
Luca Frasacco ◽  
Eleonora Luciano ◽  
Andrea Ponziani ◽  
...  

Air traffic controllers aim to optimize airport capacity, that is to increase the number of aircraft movements per hour maintaining a limited delay. There are several definitions of capacity, which depend on the considered airport element. This study focused on the development of a method that allows evaluating the impact of tower air traffic controllers’ workload on airport capacity. It adapts a model for the workload of sector controllers designed by Eurocontrol to tower controllers and tests it on a heavily busy international airport. In order to collect controllers’ working times, a campaign of data collection has been carried out from the radio frequency occupation. The results allowed us to extrapolate the hourly percentage of work of the various tower controllers using a fast-time simulation software. By imposing an hourly working threshold on tower air traffic controllers, it was possible to obtain a maximum number of manageable aircraft, which was compared with the airside capacity of the airport. The results show that the maximum traffic manageable from the airside would produce unacceptable workload for tower controllers, highlighting the link between airport capacity and the human component.


Author(s):  
Kim-Phuong L. Vu ◽  
Jonathan VanLuven ◽  
Timothy Diep ◽  
Vernol Battiste ◽  
Summer Brandt ◽  
...  

A human-in-the-loop simulation was conducted to evaluate the impact of Unmanned Aircraft Systems (UAS) with low size, weight, and power (SWaP) sensors operating in a busy, low-altitude sector. Use of low SWaP sensors allow for UAS to perform detect-and-avoid (DAA) maneuvers against non-transponding traffic in the sector. Depending upon the detection range of the low SWaP sensor, the UAS pilot may or may not have time to coordinate with air traffic controllers (ATCos) prior to performing the DAA maneuver. ATCo’s sector performance and subjective ratings of acceptability were obtained in four conditions that varied in UAS-ATCo coordination (all or none) prior to the DAA maneuver and workload (higher or lower). For performance, ATCos committed more losses of separation in high than low workload conditions. They also had to make more flight plan changes to manage the UAS when the UAS pilot did not coordinate DAA maneuvers compared to when they did coordinate the maneuvers prior to execution. Although the ATCos found the DAA procedures used by the UAS in the study to be acceptable, most preferred the UAS pilot to coordinate their DAA maneuvers with ATCos prior to executing them.


1973 ◽  
Vol 36 (3) ◽  
pp. 935-945 ◽  
Author(s):  
Kent A. Kimball ◽  
Mark A. Hofmann ◽  
Richard O. Nossaman

This investigation examined the effects of differential target velocity, horizontal or vertical plane conditions, and air traffic controller experience on the estimation accuracy of intersection time of two converging targets. Performance accuracy on this task was not significantly affected by horizontal or vertical conditions or by air traffic controllers' experience. However, accuracy in magnitude and direction varied significantly as a function of cursor speed, with slower speeds producing the poorer performance. A differential effect for various speed combinations was also noted. Estimation accuracy on the slowest cursor speed when paired with the two faster speeds was decreased while accuracy on the intermediate speed was degraded when combined with either slower or faster speeds. Estimations on the fastest speed were not affected by differential pairings.


WARTA ARDHIA ◽  
2011 ◽  
Vol 37 (3) ◽  
pp. 211-222
Author(s):  
Susanti Susanti

Assessment of Air Traffic Controllers (ATC) Fatigue Level in Providing flight Traffic services at Juanda International Airport Surabaya is to know how the description of Air traffic controller fatigue level in guiding services air traffic that impact on aviation safety. Assessment method used descriptive quantitative method by using Paired Sample T-Tesf method analysis, comparing the condition of fatigue before and after the ATC on duty, as well as exposure and detailed explanation based on the primary and secondary data compilation and the data have been processed. The assessment result shows that there are level of fatigue of Air Traffic Controller that significant, both of physical and psychological factors.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gianluca Borghini ◽  
Gianluca Di Flumeri ◽  
Pietro Aricò ◽  
Nicolina Sciaraffa ◽  
Stefano Bonelli ◽  
...  

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jun Zhang ◽  
Yan Hu ◽  
Zhaolong Ning ◽  
Amr Tolba ◽  
Elsayed Elashkar ◽  
...  

Citation is a universally acknowledged way for scientific impact evaluation. However, due to its easy manipulability, simply relying on citation cannot objectively reflect the actual impact of scholars. Instead of citation, we utilize the academic networks, in virtue of their available and abundant academic information, to evaluate the scientific impact of scholars in this paper. Through the collaboration among scholars in academic networks, we notice an interesting phenomenon that scholars in some special positions can access more kinds of information and connect researchers from different groups to promote the scientific collaborations. However, this important fact is generally ignored by the existing approaches. Motivated by the observations above, we propose the novel method AIRank to evaluate the scientific impact of scholars. Our method not only considers the impact of scholars through the mutual reinforcement process in heterogeneous academic networks, but also integrates the structural holes theory and information entropy theory to depict the benefit that scholars obtain via their positions in the network. The experimental results demonstrate the effectiveness of AIRank in evaluating the impact of scholars more comprehensively and finding more top ranking scholars with interdisciplinary nature.


Author(s):  
Mengyuan Zeng ◽  
Difei Wu ◽  
Hongduo Zhao ◽  
Hui Chen ◽  
Zeying Bian

Loss of support is a common concrete pavement distress that may affect pavement performance directly. Previous studies have proved that vibration-based methods have the potential for detecting loss of support in a more efficient way but this is limited by loading conditions. This paper presents a further study concerning the effects of moving loads and proposes a novel method for assessing support conditions of concrete pavement under traffic loads using distributed optical vibration sensing technology. First, finite element analysis and laboratory tests were conducted to investigate the impact of loss of support on pavement vibration induced by moving loads with reference to the frequency spectrum. The impact of loading conditions, including loading position and speed, was also studied using the same methods. The results indicate that both loss of support and loading characteristics have a considerable effect on the distribution of the frequency spectrum. It is proved that weighted frequency can be utilized for assessment of support conditions under a specific loading condition. It is suggested the loading position needs to be close to the measurement point (distance < 0.3 m) to obtain stable and reliable data for assessment of support conditions. In addition, the loading speed should be adequately fast and steady (4 to 5 m/s) to ensure the significance of the effect of loss of support. A field test was conducted in an airport, and the novel assessment method was validated by comparing it with a conventional deflection-based method. The novel method proved to be reliable for implementation in practice.


2012 ◽  
Vol 2 (2) ◽  
pp. 53 ◽  
Author(s):  
Muhammad Iqbal ◽  
Muhammad Adnan Waseem

Purpose – The aim of the study is to investigate the impact of job stress on job satisfaction of employees and also to find out the drivers for the job stress, which contribute to create job stress which ultimately negatively affect job satisfaction. Design/methodology/approach – The study is mainly based on review of the existing literature and collection of data through an adopted questionnaire survey, conducted from the selected sample of Air Traffic Controllers of Pakistan Civil Aviation Authority. A total of 134 questionnaires were distributed among the sample which is selected using the technique of cluster sampling. 122 respondents returned the questionnaire, which are utilized for the analysis purpose. Findings – The results of the current study indicate that there is a negative relationship between job stress and job satisfaction. Those air traffic controllers who had high level of job stress had low job satisfaction. Research limitations – This research paper is based on a specific case of Air Traffic Controllers of Pakistan Civil Aviation Authority. So the results are applicable specifically to Air Traffic Controllers of Pakistan Civil Aviation Authority or other fields in the same industry. A quantitative methodology is used to investigate the problem. Future research can investigate the problem by using a mix of quantitative and qualitative research methodology. Practical implications – The practical implications of the paper include implementation of the results provided by researcher to decrease the employees’ level of stress and increase job satisfaction level. Originality/value – The study is conducted first time in the field specifically highlighting the stress issue. It can be a base for the future research in this area.   Keywords – Job Stress, Job Satisfaction, Air Traffic Controllers


1989 ◽  
Vol 33 (2) ◽  
pp. 52-56 ◽  
Author(s):  
Ray A. Reaux ◽  
Elizabeth D. Murphy ◽  
Lisa J. Stewart ◽  
Janet L. Gresh ◽  
Karin Bruce

To meet expected increases in domestic air traffic, the Federal Aviation Administration (FAA) will increase the level of automation in the domestic air traffic control (ATC) system. There is a need to assess the effects of the increased automation on controller workload and performance. Software-based engineering tools are needed to automate the analysis, allowing designers to identify potential problems early in the system design lifecycle. This paper describes one such tool, the Predictive Air Traffic Controller Analysis Model (PATCAM), a modeling and simulation analysis tool that uses a system operations concept and task attributes database, a controller activities model, a sector environment model and simulation engine, and a workload or performance model to predict the impact of system design changes on controller workload or performance.


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