A Visualization Tool of En Route Air Traffic Control Tasks for Describing Controller's Proactive Management of Traffic Situations

In order to ensure the safety and efficiency of air transport in response to the rapid growth of air traffic improvements to aviation systems are now in progress. Researches that focus on the cognitive aspects of air traffic controllers are definitely important for providing theoretical and empirical basis for design and evaluation of aviation systems. Various researches from the cognitive perspective have been performed in the Air Traffic Control (ATC) domain and there are few researches that try to illustrate Air Traffic Control Officers (ATCO's) control strategies and their effects on task demands in real work situations. The findings from these researches can contribute to reveal why ATCOs are capable of handling air traffic safely and efficiently even in the high-density traffic condition. The paper presents core knowledge for tackling human factor issues in the ATC domain such as the development of further effective education and training programs for ATCO trainees. However, it is difficult to perform such kinds of researches because identification of ATC task from a given traffic situation and specification of effects of ATCO's control strategies on task demands require expert knowledge of ATCOs. The objective of this paper is to develop an automated identification and visualization tool of en route ATC tasks based on a cognitive system simulation of an en route controller called COgnitive system Model for simulating Projection-based behaviors of Air traffic controller in dynamic Situations (COMPAS). The developed visualization tool named COMPAS in interactive mode (COMPASi) equips a projection process model that can simulate realistic features of ATCO's projection that involve setting extra margins for errors of projection. The model developed in the paper enables COMPASi to detect ATC tasks in a given traffic situation automatically and to identify Task Demand Level (TDL), that is, an ATC task index. The basic validity of COMPASi has been confirmed through detailed comparison between TDLs that have been given by a training instructor and ones by COMPASi in a simulation-based experiment. Temporal sequences of TDLs can reflect effectiveness of ATCO's control strategies in terms of regulating task demands because TDL corresponds to the demands of ATC tasks. It may be expected to reveal important aspects of ATCO's skill for achieving the safety and efficiency of air traffic by accumulating and analyzing this type of data.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01488568
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 25 2013 1:46PM