The influence of errors in visualization systems on the level of safety threat in air traffic
Jacek Skorupski , Paweł Ferduła
AbstractAir traffic management in controlled airspace is carried out by air traffic controllers assisted by complex technical systems. One of their primary tasks is to provide the controller with visualization of the traffic situation in the airspace, thereby enabling situational awareness and making right decisions. Despite the efforts to improve the reliability of visualization systems, in practice, errors sometimes occur. The purpose of this paper is to determine the impact of error types on the safety of the air traffic. The assessment of the threat level is influenced by subjective factors and cannot be expressed in a precise way. Therefore, the theory of fuzzy reasoning has been used in the paper. The developed fuzzy model has been used to obtain a tool enabling the experimental simulation of the impact of various factors on traffic safety assessment. The results of experiments indicate that the most important determinants of safety are: the time when air traffic controller remains unaware of the breakdown and the total time he/she does not have full knowledge of the traffic situation. It can be therefore stated that the key role for the proper operation of the air traffic visualization system and thus the restoration of full situational awareness is played by self-diagnostic systems that can restore the visualization system’s correct functioning without even the controller being aware of the error occurrence. Their role in assuring safety might be even greater than redundancy which is commonly used.
|Journal series||Journal of Advanced Transportation, ISSN 0197-6729, (A 30 pkt)|
|Publication size in sheets||0.75|
|Keywords in English||air traffic control, visualization system, fuzzy reasoning systems, air traffic safety|
|ASJC Classification||; ; ; ;|
|Score|| = 30.0, 25-03-2019, ArticleFromJournal|
= 30.0, 25-03-2019, ArticleFromJournal
|Publication indicators||= 0; : 2016 = 1.262; : 2017 = 1.102 (2) - 2017=1.382 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.