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

Oberle, Marius and König, Christina and Bruder, Ralph
Schwarz, M. and Harfmann, J. (eds.) (2017):
Investigation of the Action Sequence of Pilots during Landing using Markov Models.
In: Proceedings of the 32nd Conference of the European Association for Aviation Psychology, Groningen,NL, In: EAAP Conference, Cascais, Portugal, 26.-30.09.2016, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2017
Editors: Schwarz, M. and Harfmann, J.
Creators: Oberle, Marius and König, Christina and Bruder, Ralph
Title: Investigation of the Action Sequence of Pilots during Landing using Markov Models
Language: English
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.

Title of Book: Proceedings of the 32nd Conference of the European Association for Aviation Psychology
Place of Publication: Groningen,NL
Uncontrolled Keywords: Markov Model, Landing Maneuver, Uncertainty, Human-Machine Interaction, Human Error
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 805: Control of Uncertainty in Load-Carrying Structures in Mechanical Engineering
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio)
Event Title: EAAP Conference
Event Location: Cascais, Portugal
Event Dates: 26.-30.09.2016
Date Deposited: 21 Nov 2016 12:30
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