In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans

Vittesh V. Kalambi; Amy R. Pritchett; Daniel P.J. Bruneau; Mica R. Endsley; David B. Kaber

In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans

Vittesh V. Kalambi, Amy R. Pritchett, Daniel P.J. Bruneau, Mica R. Endsley, David B. Kaber

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

The following study examined pilots' performance on in-flight planning tasks in non-nominal and emergency conditions using autoflight systems capable of automatically generating a flight plan. The findings revealed that autoflight systems did not significantly impact replanning, while the scenarios did significantly affect the primary performance measures of distance flown and time of flight. Additionally, pilots selected the most direct route when possible and did not distinguish between emergency and non-nominal flight conditions. Pilots also favored use of the automatically generated flight plans. We conclude that: 1) automatic flight path generation benefits in-flight replanning primarily by reducing workload in emergencies; and 2) such a system will require real time access to environmental information, including traffic, weather and terrain, be considered simultaneously.

Original language	English (US)
Title of host publication	51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007
Pages	55-59
Number of pages	5
State	Published - 2007
Event	51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007 - Baltimore, MD, United States Duration: Oct 1 2007 → Oct 5 2007

Publication series

Name	Proceedings of the Human Factors and Ergonomics Society
Volume	1
ISSN (Print)	1071-1813

Other

Other	51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007
Country/Territory	United States
City	Baltimore, MD
Period	10/1/07 → 10/5/07

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Kalambi, V. V., Pritchett, A. R., Bruneau, D. P. J., Endsley, M. R., & Kaber, D. B. (2007). In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans. In 51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007 (pp. 55-59). (Proceedings of the Human Factors and Ergonomics Society; Vol. 1).

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title = "In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans",

abstract = "The following study examined pilots' performance on in-flight planning tasks in non-nominal and emergency conditions using autoflight systems capable of automatically generating a flight plan. The findings revealed that autoflight systems did not significantly impact replanning, while the scenarios did significantly affect the primary performance measures of distance flown and time of flight. Additionally, pilots selected the most direct route when possible and did not distinguish between emergency and non-nominal flight conditions. Pilots also favored use of the automatically generated flight plans. We conclude that: 1) automatic flight path generation benefits in-flight replanning primarily by reducing workload in emergencies; and 2) such a system will require real time access to environmental information, including traffic, weather and terrain, be considered simultaneously.",

author = "Kalambi, {Vittesh V.} and Pritchett, {Amy R.} and Bruneau, {Daniel P.J.} and Endsley, {Mica R.} and Kaber, {David B.}",

year = "2007",

language = "English (US)",

isbn = "9781605600376",

series = "Proceedings of the Human Factors and Ergonomics Society",

pages = "55--59",

booktitle = "51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007",

note = "51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007 ; Conference date: 01-10-2007 Through 05-10-2007",

}

Kalambi, VV, Pritchett, AR, Bruneau, DPJ, Endsley, MR & Kaber, DB 2007, In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans. in 51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007. Proceedings of the Human Factors and Ergonomics Society, vol. 1, pp. 55-59, 51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007, Baltimore, MD, United States, 10/1/07.

In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans. / Kalambi, Vittesh V.; Pritchett, Amy R.; Bruneau, Daniel P.J. et al.
51st Annual Meeting of the Human Factors and Ergonomics Society, HFES 2007. 2007. p. 55-59 (Proceedings of the Human Factors and Ergonomics Society; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The following study examined pilots' performance on in-flight planning tasks in non-nominal and emergency conditions using autoflight systems capable of automatically generating a flight plan. The findings revealed that autoflight systems did not significantly impact replanning, while the scenarios did significantly affect the primary performance measures of distance flown and time of flight. Additionally, pilots selected the most direct route when possible and did not distinguish between emergency and non-nominal flight conditions. Pilots also favored use of the automatically generated flight plans. We conclude that: 1) automatic flight path generation benefits in-flight replanning primarily by reducing workload in emergencies; and 2) such a system will require real time access to environmental information, including traffic, weather and terrain, be considered simultaneously.

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In-flight planning and intelligent pilot aids for emergencies and non-nominal flight conditions using automatically generated flight plans

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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