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Investigation of the Action Sequence of Pilots during Landing using Markov Models

Oberle, Marius ; König, Christina ; Bruder, Ralph
Schwarz, M. ; Harfmann, J. (eds.) :

Investigation of the Action Sequence of Pilots during Landing using Markov Models.
In: EAAP Conference, 26.-30.09.2016, Cascais, Portugal. Proceedings of the 32nd Conference of the European Association for Aviation Psychology Groningen,NL
[ Konferenzveröffentlichung] , (2017)

Kurzbeschreibung (Abstract)

This paper investigates the human impact on the strain of a landing gear during touchdown by exploring the action sequence taken by pilots. Forty-four trained, male pilots operated a landing maneuver in a flight simulator. Thirty flight parameters and personal data, like qualification and flight experience, were assessed. A Markov model was derived to identify typical action patterns and relate them to the resulting strain. Though identified patterns did not statistically significantly relate to the resulting strain, within four states of the Markov model predictors for the resulting strain were found. The findings could be used to develop assistance systems that react to uncommon action patterns by giving specific warnings to reduce the resulting strain on the landing gear.

Typ des Eintrags: Konferenzveröffentlichung ( nicht bekannt)
Erschienen: 2017
Herausgeber: Schwarz, M. ; Harfmann, J.
Autor(en): Oberle, Marius ; König, Christina ; Bruder, Ralph
Titel: Investigation of the Action Sequence of Pilots during Landing using Markov Models
Sprache: Englisch
Kurzbeschreibung (Abstract):

This paper investigates the human impact on the strain of a landing gear during touchdown by exploring the action sequence taken by pilots. Forty-four trained, male pilots operated a landing maneuver in a flight simulator. Thirty flight parameters and personal data, like qualification and flight experience, were assessed. A Markov model was derived to identify typical action patterns and relate them to the resulting strain. Though identified patterns did not statistically significantly relate to the resulting strain, within four states of the Markov model predictors for the resulting strain were found. The findings could be used to develop assistance systems that react to uncommon action patterns by giving specific warnings to reduce the resulting strain on the landing gear.

Buchtitel: Proceedings of the 32nd Conference of the European Association for Aviation Psychology
Ort: Groningen,NL
Freie Schlagworte: Markov Model, Landing Maneuver, Uncertainty, Human-Machine Interaction, Human Error
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 805: Beherrschung von Unsicherheit in lasttragenden Systemen des Maschinenbaus
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio)
Veranstaltungstitel: EAAP Conference
Veranstaltungsort: Cascais, Portugal
Veranstaltungsdatum: 26.-30.09.2016
Hinterlegungsdatum: 21 Nov 2016 12:30
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