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Airline crew pairing with fatigue: Modeling and analysis.

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Title: Airline crew pairing with fatigue: Modeling and analysis.
Authors: Yildiz, Burak C.1, Gzara, Fatma1, Elhedhli, Samir1 elhedhli@uwaterloo.ca
Source: Transportation Research Part C: Emerging Technologies. Jan2017, Vol. 74, p99-112. 14p.
Subjects: Airline industry personnel, Fatigue (Physiology), Aircraft accidents, Air travel, Circadian rhythms
Abstract: Crew fatigue is one of the main causes of airline accidents. Regulatory authorities such as the Federal Aviation Agency constantly introduce new fatigue regulations, often in the form of hard constraints on the length of duty and rest periods. The complex nature of travel-related fatigue, however, makes it difficult to account for it indirectly through such constraints. Recent studies show that fatigue depends on human factors such as the homeostatic process and the circadian body clock as well as time-zone differences. In this work, we explicitly account for fatigue in crew pairing optimization through the Three Process Model of Alertness, one of the most comprehensive fatigue models available in the literature. We provide a mathematical model for the crew pairing problem that incorporates fatigue and solve it using a column generation approach. Numerical analysis on two real data sets reveals that the proposed approach is able to reduce the crew fatigue levels substantially with minimal impact on cost. In particular, it is shown that hard constraints on fatigue may still lead to high fatigue levels and that jet-lag and time-zone differences have a major impact. The results of the tests also show that some of the rules and regulations in practice may be omitted if the fatigue is accounted for directly. [ABSTRACT FROM AUTHOR]
Copyright of Transportation Research Part C: Emerging Technologies is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 120411523
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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Airline+industry+personnel%22">Airline industry personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+%28Physiology%29%22">Fatigue (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Aircraft+accidents%22">Aircraft accidents</searchLink><br /><searchLink fieldCode="DE" term="%22Air+travel%22">Air travel</searchLink><br /><searchLink fieldCode="DE" term="%22Circadian+rhythms%22">Circadian rhythms</searchLink>
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  Data: Crew fatigue is one of the main causes of airline accidents. Regulatory authorities such as the Federal Aviation Agency constantly introduce new fatigue regulations, often in the form of hard constraints on the length of duty and rest periods. The complex nature of travel-related fatigue, however, makes it difficult to account for it indirectly through such constraints. Recent studies show that fatigue depends on human factors such as the homeostatic process and the circadian body clock as well as time-zone differences. In this work, we explicitly account for fatigue in crew pairing optimization through the Three Process Model of Alertness, one of the most comprehensive fatigue models available in the literature. We provide a mathematical model for the crew pairing problem that incorporates fatigue and solve it using a column generation approach. Numerical analysis on two real data sets reveals that the proposed approach is able to reduce the crew fatigue levels substantially with minimal impact on cost. In particular, it is shown that hard constraints on fatigue may still lead to high fatigue levels and that jet-lag and time-zone differences have a major impact. The results of the tests also show that some of the rules and regulations in practice may be omitted if the fatigue is accounted for directly. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Transportation Research Part C: Emerging Technologies is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=120411523
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        Value: 10.1016/j.trc.2016.11.002
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      – Code: eng
        Text: English
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        PageCount: 14
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      – SubjectFull: Airline industry personnel
        Type: general
      – SubjectFull: Fatigue (Physiology)
        Type: general
      – SubjectFull: Aircraft accidents
        Type: general
      – SubjectFull: Air travel
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      – SubjectFull: Circadian rhythms
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      – TitleFull: Airline crew pairing with fatigue: Modeling and analysis.
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              Text: Jan2017
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              Y: 2017
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