Aircraft approaching service of terminal control based on fuzzy control

2020 ◽  
Vol 34 (22n24) ◽  
pp. 2040142
Author(s):  
Te-Jen Su ◽  
Kun-Liang Lo ◽  
Feng-Chun Lee ◽  
Yuan-Hsiu Chang
Keyword(s):  
Decision Making ◽  
Fuzzy Control ◽  
Human Factors ◽  
Traffic Flow ◽  
Traffic Control ◽  
Fuzzy Theory ◽  
Control Area ◽  
Air Traffic ◽  
Terminal Control ◽  
Air Traffic Controllers

Aircraft approaching is the most dangerous phase in every complete flight. To solve the pressure of air traffic controllers and the landings delayed problems caused by the huge air traffic flow in Terminal Control Area (TCA), an automatic Air Traffic Control (ATC) instructions system is initially designed in this paper. It applies the fuzzy theory to make instant and appropriate decisions which can be transmitted via Controller-Pilot Datalink Communications (CPDLC). By means of the designed system, the decision-making time can be saved and the human factors can be reduced to avoid the flight accidents and further delays in aircraft approaching.

scholarly journals Coding ATC Incident Data Using HFACS: Intercoder Consensus

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Liang Wang ◽  
Yaohua Wang ◽  
Xiaoqiang Yang ◽  
Kai Cheng ◽  
Haishan Yang ◽  
...  
Keyword(s):  
Human Factors ◽  
Traffic Control ◽  
Air Traffic ◽  
The Other ◽  
Contributing Factors ◽  
Factors Analysis ◽  
Air Traffic Controllers ◽  
High Hazard ◽  
Incident Reports ◽  
Comparability Of Results

Reliability studies for coding contributing factors of incident reports in high hazard industries are rarely conducted and reported. Although the Human Factors Analysis and Classification System (HFACS) appears to have a larger number of such studies completed than most other systems doubt exists as the accuracy and comparability of results between studies due to aspects of methodology and reporting. This paper reports on a trial conducted on HFACS to determine its reliability in the context of military air traffic control (ATC). Two groups participated in the trial: one group comprised of specialists in the field of human factors, and the other group comprised air traffic controllers. All participants were given standardized training via a self-paced workbook and then read 14 incident reports and coded the associated findings. The results show similarly low consensus for both groups of participants. Several reasons for the results are proposed associated with the HFACS model, the context within which incident reporting occurs in real organizations and the conduct of the studies.

Expertise in Aviation

2019 ◽  
pp. 661-689 ◽  
Author(s):  
Christopher D. Wickens ◽  
Frederic Dehais
Keyword(s):  
Decision Making ◽  
Situation Awareness ◽  
Traffic Control ◽  
Technical Skills ◽  
Flight Time ◽  
Air Traffic ◽  
Task Management ◽  
Loosely Coupled ◽  
Air Traffic Controllers ◽  
Very High

This chapter makes the distinction between the experience of aviation professionals, often quantified in terms of hours of flight time, or flight qualifications, and expertise, as revealed by high proficiency at aviation tasks. Very high proficiency defines the expert. Challenge results because of the difficulty in measuring such proficiency, particularly beyond the student pilot level, and in air traffic control. The chapter also reviews the literature that examines the relation between experience, differences in cognitive ability, and the expertise of aviation professionals as pertains to controlling the aircraft, navigating, and communicating, as well as pertains to non-technical skills manifest by both pilots and air traffic controllers: situation awareness, decision making, task management and crew resource management. It is concluded that experience is only loosely coupled with proficiency in these areas.

Human Factors Evaluation of Conflict Resolution Advisories for Air Traffic Control in the En Route Domain

2016 ◽  
Vol 60 (1) ◽  
pp. 94-98
Author(s):  
Sehchang Hah ◽  
Ben Willems ◽  
Gary Mueller ◽  
Daniel R. Johnson ◽  
Hyun Woo ◽  
...  
Keyword(s):  
Conflict Resolution ◽  
Human Factors ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Simulation Experiment ◽  
Air Traffic ◽  
Subjective Ratings ◽  
Human In The Loop ◽  
Air Traffic Controllers

In this paper, we report results of a human-in-the-loop simulation experiment that evaluated how Conflict Resolution Advisories (CRA) affected en route air traffic controllers’ performance. Twelve current en route Certified Professional Controllers from Air Route Traffic Control Centers (ARTCCs) participated in the experiment. Results showed that controllers used CRA menus significantly more often than Baseline menus. They also spent more time interacting with the CRA menus than with the Baseline menus. Most of the participants’ subjective ratings favored the CRA, but they also pointed out a few features to be improved.

Developing a Decision Support Interface for Surface Domain Air Traffic Controllers

2007 ◽  
Vol 51 (2) ◽  
pp. 112-116 ◽  
Author(s):  
Lynne Martin ◽  
Savita Verma ◽  
Deborah Ballinger ◽  
Victor Cheng
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Air Traffic ◽  
Work Patterns ◽  
Interface Management ◽  
Air Traffic Controllers ◽  
Time Simulation ◽  
Perceived Workload ◽  
Automation Tools ◽  
The Impact

The effects of advanced automation tools on the air traffic control tower environment were assessed through a real-time simulation study. One focus of the study was the impact that advanced tools would have on controllers' roles and work patterns. Participants controlled simulated traffic during 45-minute scenarios, and reported their perceived workload and experience of using a prototype automation tool. Perceived workload was significantly reduced in the advanced automation conditions, more so as the automation assumed more functions. Participants interacted a great deal with the automation in these conditions, a notable proportion of which was interface management. Despite generally liking the tool, controllers reported the automation had assumed all of their role's decision-making responsibilities and left them with mechanical tasks. It is concluded that a more artful allocation of functions is required if controllers are to be engaged in their task when using advanced automation tools.

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