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Fatigue and Alertness Management in Aviation

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Title: Fatigue and Alertness Management in Aviation


1
Fatigue and Alertness Management in Aviation
2
  • Provide scientific-based recommendations for
    aircrew scheduling
  • Five European teams working on the field of
    fatigue

KI
QinetiQ
TNO
DLR
LAA
3
Contents
  • Introduction and background
  • The case of ultra-long-range flights
  • The case of cockpit napping in two-pilot flights
  • Discussion and recommendations
  • Conclusion

4
Contents
  • Introduction and background
  • The case of ultra-long-range flights
  • The case of cockpit napping in two-pilot flights
  • Discussion and recommendations
  • Conclusion

5
Introduction Fatigue in aviation
  • Widely recognized as a main factor affecting
    performance of pilots
  • Remains a key issue regarding ultra-long-range
    flights, commercial pressure in smaller airlines
  • In the past years, fatigue studies have mostly
    focused on the individual level, the pilot
  • Should be considered in a more systemic approach
  • More emphasis should be placed on fatigue and
    operational performance

6
Main causes of fatigue
  • Two main factors
  • Time since sleep
  • Biological rhythms

7
Some consequences of fatigue
  • Micro-sleeps (sleepiness)
  • Increased eye closure
  • Longer reaction times
  • Difficulty in solving problems
  • Reduction in communications
  • Difficulty in solving inter-personal conflicts

Flight New York Brussels
8
A340 certifications flights
Cumulated number of microsleeps during the final
phase of the flight TLS-SFO-TLS and TLS-SIN-TLS
9
Underestimation of sleepiness at the end of a car
trip
Perceived sleepiness (questionnaire)
of micro-sleeps
14
100
12
80
10
60
8
Perceived sleepiness
Ratio ()
6
40
4
20
2
0
0
Awake
D
P1
P2
P3
F
4-hr trip
10
Contents
  • Introduction and background
  • The case of ultra-long-range flights
  • The case of cockpit napping in two-pilot flights
  • Discussion and recommendations
  • Conclusion

11
The case of ULR flights SIN-LAX and SIN-NY
CAA Singapore Airbus ECASS University of Massey
(NZ)
  • Three-step follow-up study
  • Prediction
  • Validation of predictions on current LR
    operations
  • Validation of predictions on ULR

Around 17 hrs of flight time
Around 20 hrs of flight time
12
Prediction of alertness for different flight
schedules

return flight starting at 1400
Outbound flight departing at 2000
Main Crew at Controls
6 hours
6 hours
Relief Crew at Controls
Based on conservative recuperative sleep
assumptions
The benchmark for lowest acceptable alertness
being 30
13
Prediction of alertness for different flight
schedules
return flight starting at 0100
Main Crew at Controls
6 hours
Relief Crew at Controls
6 hours
The benchmark for lowest acceptable alertness is
30
14
In-flight sleep duration

14
12
10
8
Percentage
6
4
2
0
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
8.5
Sleep time (hours)
15
Fatigue evaluation during return flights
Very sleepy
9
8
Unacceptable zone
7
Crew 1
6
5
Score
Crew 2
4
3
2
Very alert
1
0.00
4.00
8.00
12.00
16.00
20.00
24.00
Time (UTC)
16
Percentage of pilots with a score gt 8
17
Education and training
18
SIN-CDG-SIN Short Layover
Before the flight - During the day normal
activity, exposure to daylight in the afternoon,
avoid coffee and tea after 16h. - Do not take a
nap during the day. - In the evening take a
light meal and go to bed as early as possible. -
In the morning if your rest during the flight
is planned in the first part of the flight, you
should limit your coffee and tea intake.
- If early wake-up, alertness decrement may occur
between 13h and 16h. - Alternate active and
passive phases. - Avoid taking your meals or
snacks at the same time as the other
crewmember. - Rest starts between 9h and
12h. This part of the flight is unfavourable for
sleep. You should plan a longer rest period or
divide your rest into two or three periods spread
out over the flight.
Upon arrival take a light meal.
19
Contents
  • Introduction and background
  • The case of ultra-long-range flights
  • The case of cockpit napping in two-pilot flights
  • Discussion and recommendations
  • Conclusion

20
The case of cockpit napping in two-pilot crews
  • Known as a widely used countermeasure against
    fatigue in long-haul flights
  • Advantage reduces the number of microsleeps
    during the final phase of the flight and
    increases performance (Rosekind et al, 1994)
  • Drawback Induces a risk of sleep inertia upon
    waking up (Naitoh, 1981 Stone and Robertson,
    2001)

21
Sleep inertia
22
Sleep structure (normal)
Time
23
Rapid Eye Movement
Stage 1
Light sleep
Stage 2
Stage 3
Deep sleep
Stage 4
23
Countermeasure against sleep inertia (Air France
example)
24
Method
  • Flights
  • 10 rosters (20 flights) on A340 (SABENA)
  • Two-pilot crew
  • Brussels - New York
  • Schedule (base time )
  • outbound 19h30?03h30
  • layover of 26 hrs 30
  • return 06h00 ?13h00
  • Aircrews were asked to take preplanned rest of 40
    min (aural warning)

25
Sleep stages duration during 40 min in-flight
naps
Deep sleep
Max 23.5
Max 14.5
n number of pilots
26
Sleep stages and alertness during flights
New-York -gt Brussels - Capt
Awake
GMT
Preplanned rest
27
Contents
  • Introduction and background
  • The case of ultra-long-range flights
  • The case of cockpit napping in two-pilot flights
  • Discussion and recommendations
  • Conclusion

28
Discussion
  • High individual variability
  • Sleep patterns during cockpit napping depend on
  • previous sleep time
  • time of the day
  • In some cases, napping is not sufficient to
    alleviate sleepiness
  • Even limited to 40 min, nap may contain deep
    sleep stages

29
Discussion and recommendations
  • Napping strategies in two-pilot flights should
  • take into account time of the day and previous
    sleep loss
  • be pre-planned by the aircrew, taking into
    account their initial fatigue
  • be followed by a relief period (around 20 min) to
    allow sleep inertia to be overcome
  • Additional research is needed
  • to support recommendations and environmental
    countermeasures (e.g. light)
  • to look at the relationship between fatigue and
    operational performance

30
Conclusion
A systemic approach of fatigue in aviation the
Swiss Cheese model
Adapted from Reason,1990
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