About: Most Significant Human Factors in Air Traffic Control Occurrences     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Air Traffic Controllers play a crucial role in Air Traffic Control, which is considered the most visible and flexible part of the Air Traffic Management (ATM) system. All decisions made by controllers are influenced by a huge number of factors, both objective and subjective. Some studies have established a model of the risks in ATM, but none have combined statistics and modeling principles in a Bayesian approach. The study is based on a wide retrospective analysis of the air traffic occurrences where controllers were involved. The data presented in this article comprise 981 air traffic control-involved occurrences records covering the years 2000 – 2012 in the Czech Republic, Great Britain, Canada and the United States of America. We analyzed the individual roles of all known factors contributing to the occurrences. Occurrences were classified as air accidents and incidents of serious, major, significant or no safety effects. The most significant and correlating variables were used for the discrete risk model. Our results did not confirm the impact of adverse meteorological conditions or high air traffic intensity on the number of ATC involved occurrences. On the contrary, the majority of reported accidents occurred in ideal weather and in low-density traffic. Most occurrences were recorded in the vicinity of the airports, during aircraft approach maneuvers and landing. The most critical time for the occurrences is between 04:00 and 07:59 a.m. Our discrete risk model suggests the combination of time of day, meteorological conditions, type of flight and aircraft (vortex) category as the most relevant.
  • Air Traffic Controllers play a crucial role in Air Traffic Control, which is considered the most visible and flexible part of the Air Traffic Management (ATM) system. All decisions made by controllers are influenced by a huge number of factors, both objective and subjective. Some studies have established a model of the risks in ATM, but none have combined statistics and modeling principles in a Bayesian approach. The study is based on a wide retrospective analysis of the air traffic occurrences where controllers were involved. The data presented in this article comprise 981 air traffic control-involved occurrences records covering the years 2000 – 2012 in the Czech Republic, Great Britain, Canada and the United States of America. We analyzed the individual roles of all known factors contributing to the occurrences. Occurrences were classified as air accidents and incidents of serious, major, significant or no safety effects. The most significant and correlating variables were used for the discrete risk model. Our results did not confirm the impact of adverse meteorological conditions or high air traffic intensity on the number of ATC involved occurrences. On the contrary, the majority of reported accidents occurred in ideal weather and in low-density traffic. Most occurrences were recorded in the vicinity of the airports, during aircraft approach maneuvers and landing. The most critical time for the occurrences is between 04:00 and 07:59 a.m. Our discrete risk model suggests the combination of time of day, meteorological conditions, type of flight and aircraft (vortex) category as the most relevant. (en)
Title
  • Most Significant Human Factors in Air Traffic Control Occurrences
  • Most Significant Human Factors in Air Traffic Control Occurrences (en)
skos:prefLabel
  • Most Significant Human Factors in Air Traffic Control Occurrences
  • Most Significant Human Factors in Air Traffic Control Occurrences (en)
skos:notation
  • RIV/68407700:21260/13:00208937!RIV14-MSM-21260___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 89622
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21260/13:00208937
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Flight Safety; Human Factors; Air Traffic Controller; Type of Flight; Flight Rules; Day-time; Season; Workload; Aircraft Category; Area of the Occurrence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7DFA6E5497E9]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Žilina
http://linked.open...i/riv/nazevZdroje
  • International Conference on Air Transport 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nagy, Ivan
  • Voštová, Věra
  • Štecha, Richard
  • Šulc, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • EDIS - vydavateľstvo Žilinskej univerzity
https://schema.org/isbn
  • 978-80-554-0776-0
http://localhost/t...ganizacniJednotka
  • 21260
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software