How can airports and airlines mitigate runway excursion risks? · q Slippery runways biggest factor...
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How can airports and airlines mitigate runway excursion risks? FINAL OPTICS DISSEMINATION EVENT, 12-13 June 2017 // EUROCONTROL, Brussels SAFETY | FUTURE SKY Gerard van Es NLR
Transcript of How can airports and airlines mitigate runway excursion risks? · q Slippery runways biggest factor...
How can airports and airlines mitigate runway excursion risks? FINAL OPTICS DISSEMINATION EVENT, 12-13 June 2017 // EUROCONTROL, Brussels
SAFETY | FUTURE SKY
Gerard van EsNLR
Veer-off excursion
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Overrun excursion
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Number of runway excursion accidents
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2010 2011 2012 2013 2014 2015 2016 2017(prel.)
Who can help reducing runwayexcursions from happening?
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Operators
Airports
ATCManufacturers
Regulators
Background FSS project runway excursionsq European Action Plan Prevention of Runway Excursions
provides recommendations to reduce runway excursions in Europe;
q Action Plan identified areas were research is needed to further reduce runway excursion risk, like:
q Advanced methods for analysis flight data for runway veer-off risk factors;
q New concepts to prevent excursions or mitigate consequences of excursions.
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Flight data as pro-active tool
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Improve training Change procedures
Monitoring veer-off risk using FDMTypical factors of interest:
q Actual crosswind;q Touchdown (rate of descent and point on runway); q Use of rudder during ground roll;q Lateral deviation during ground roll; q Runway condition;q Asymmetrical thrust.
These are often not monitored by airlines (not individually or in combination) or inaccurately.
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Example: crosswind determination q On-board computed wind speed and direction (like FMS
wind) is not accurate during crosswind landing;
q Airport wind (METAR) recorded only every 30 min.;
q Algorithms developed in FSS to derive wind speed & direction just before touchdown from flight data.
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Example: Touchdown position
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Example: Touchdown positionq Recorded location data gives an approximation of
measured data on board;
q Touchdown point in time is also not accurately recorded;
q Alternative methods developed in FSS:
q Use of vertical acceleration and localizer data.
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Data fusionq Combination of data sources enhances understanding of
risk;
q E.g. combination of crosswind data with rudder use, and runway condition in relation to lateral position on runway.
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Airports: runway excursion risk mitigationq Slippery runways biggest factor in runway excursions;
q Wet/flooded runways most common slippery condition;
q FSS project looks at better understanding of braking performance and predictive tools for airports:
q Flight testing on very wet runway;q Runway water depth model development.
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Flooded runway braking tests
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How wet is this runway?
Runway water depth predictive model
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Cross fall
Long. slope
Macrotexture
Model
Rain intensity
Water depth
Runway
Example of the accuracy of the model
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Use of water depth informationq Pilots get an accurate report on wetness of the runway;
q No longer based on e.g. subjective ATCo assessment from the tower.
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Final wordsq Examples are given on FSS research topics to prevent
runway excursions;
q Project is still in progress;
q Other topics are investigated within FSS.
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Questions?
http://www.futuresky.eu/projects/safety
