Computer Model of a Collision-Avoidance System for Air Traffic Control

1983 ◽  
Vol 36 (2) ◽  
pp. 288-301
Author(s):  
Sidney Morleigh
Keyword(s):  
Collision Avoidance ◽  
Traffic Control ◽  
Air Traffic ◽  
Storage Unit ◽  
Data Link ◽  
Potential Conflict ◽  
Conflict Situations ◽  
Ground System ◽  
Set Up ◽  
Map Data

Among the major problems encountered in the control of air traffic are those concerned with conflict prediction and resolution. An interesting method by which many of the associated difficulties could probably be overcome would be by employment of a suitable type of computer-controlled Airborne Traffic Situation Display (ATSD). This would operate in a manner similar to that described for the Fully Automated Pilot-Monitored ATC, utilizing information derived from an ATC Centre via ground/air data link.In addition to the ATSD and the associated digital computer the airborne equipment required for this system includes an electronic data display (EDD) and a bulk storage unit for enabling flight plan and map data to be set up on the relevant display. The ground-based ATC subsystem could automatically provide the pilot with information concerning other air traffic in the vicinity, warning him of any potential conflict situations and advising him of an appropriate evasion manoeuvre. The air traffic data could automatically up-date the back-up information for both the ATSD and the EDD, whilst details of any proposed collision-avoidance manoeuvre could appear on the EDD. The pilot would be able to employ his airborne computing and ATSD system for monitoring the situation. He should therefore be able to confirm the likelihood of a collision, to check the time available before a potential impact and to determine the most suitable manoeuvre for collision avoidance. This manoeuvre will generally agree with that selected by the ground system.

Why Air Traffic Control?

1961 ◽  
Vol 65 (606) ◽  
pp. 416-418
Author(s):  
R. F. Hansford
Keyword(s):  
Collision Avoidance ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
Technical Problems ◽  
The Future ◽  
Collision Avoidance System

To avoid any misunderstandings, it should be made clear that in the author's opinion the techniques of Air Traffic Control are not likely to be significantly affected by the future advent of an air-to-air collision avoidance system. This is admittedly a contentious view and this paper is a brief survey of some of the factors which lead the author to hold this opinion. After clarifying what is meant by an air-to-air collision avoidance system, the paper deals first with some of the operational problems, then with some of the technical problems and concludes with general comments.

scholarly journals SATORI: Situation Assessment through Re-Creation of Incidents

1993 ◽  
Vol 37 (15) ◽  
pp. 1031-1031 ◽  
Author(s):  
Mark D. Rodgers
Keyword(s):  
Traffic Control ◽  
System Analysis ◽  
Open Systems ◽  
Radar Data ◽  
Similar Data ◽  
Situation Assessment ◽  
Training Outcomes ◽  
Set Up ◽  
Measuring Controller ◽  
Map Data

A system has been developed that graphically re-creates the radar data recorded at En Route air traffic control facilities. Each facility records data sent to the radar displays associated with the airspace under its control on a System Analysis Report (SAR) tape. SATORI (Situation Assessment Through Re-creation of Incidents) overlays the SAR data on the appropriate sector maps using map data from the Adaptation Control Environmental System (ACES) database. Voice records from the audiotape recording of the communications between the controller and pilots, and interphone communications are digitized and replayed in synchrony with the events displayed on the screen. Figure 1 details the SATORI data processing flow. The analog switch display settings of the PVD are not recorded, however subroutines have been written for SATORI that allow the display to be set up with the settings reported to have been used by a given controller. In addition to the above, SATORI has the capability to display the high and low weather intensity that was displayed on a given PVD. All software routines written for SATORI use Open Systems Foundation (OSF) technology. Similar data to those available from En Route facilities are recorded at TRACON facilities and should allow for the development of a re-creation tool much like the one discussed in this report. Once SATORI is evaluated, it will be possible to accomplish the goals of evaluating system designs, over-the-shoulder appraisals, training outcomes, and measuring controller performance.

Artificial Neural Network for Pre-Simulation Training of Air Traffic Controller

2019 ◽  
pp. 27-51 ◽  
Author(s):  
Tetiana Shmelova ◽  
Yuliya Sikirda ◽  
Togrul Rauf Oglu Jafarzade
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Simulation Training ◽  
Control Area ◽  
Air Traffic ◽  
Potential Conflict ◽  
Air Traffic Controller ◽  
Conflict Situations ◽  
Training Exercises

In this chapter, the four layers neural network model for evaluating correctness and timeliness of decision making by the specialist of air traffic services during the pre-simulation training has been presented. The first layer (input) includes exercises that cadet/listener performs to solve a potential conflict situation; the second layer (hidden) depends physiological characteristics of cadet/listener; the third layer (hidden) takes into account the complexity of the exercise depending on the number of potential conflict situations; the fourth layer (output) is assessment of cadet/listener during performance of exercise. Neural network model also has additional inputs (bias) that including restrictions on calculating parameters. The program “Fusion” of visualization of the state of execution of an exercise by a cadet/listener has been developed. Three types of simulation training exercises for CTR (control zone), TMA (terminal control area), and CTA (control area) with different complexity have been analyzed.

An Empirical Study of Calibration in Air Traffic Control Expert Judgment

2005 ◽  
Vol 49 (3) ◽  
pp. 422-426 ◽  
Author(s):  
Ashley Nunes ◽  
Alex Kirlik
Keyword(s):  
Traffic Control ◽  
Air Traffic ◽  
Work Environments ◽  
Perceptual Information ◽  
Potential Conflict ◽  
Domain Experts ◽  
Air Traffic Controllers ◽  
Time Differential ◽  
The Mean ◽  
The Difference

In contrast to many studies revealing biases in the probabilistic judgments of task-naïve participants, a growing body of literature has revealed that over time, professionals are able to gain a reasonably accurate appreciation for the inherent uncertainty that exists in their work environments. The present study assessed how well experienced (working) air traffic controllers are able to predict the probability of the loss of separation between a pair of converging aircraft. Sixteen controllers expressed probabilistically whether or not the depicted pair of aircraft would lose separation. The actual probability of conflict was manipulated by varying the time differential between when each pair of aircraft would reach the point of potential conflict, coupled with uncertainty due to wind perturbations. Results revealed that in instances where perceptual information was available to distinguish between conflicts and non-conflicts, the difference between the actual conflict probability and the mean of the controllers' judged probabilities of conflict was minimal, highlighting the high calibration level of these domain experts at an aggregate level.

Sign in / Sign up

Export Citation Format

Share Document