Data Science for Safety Intelligence Serçin Özen Assistant Manager - Safety & FDM Pegasus Airlines 3rd Data Science in Aviation Workshop 8th April 2015 Brussels

Agenda Pegasus Airlines - Who we are Safety Culture in Pegasus Airlines Technological Infrustructure for Monitoring Safety Programmable Data Extraction and Reports Enhancing Safety Intelligence and Efficiency

Growth in Numbers 2005 TODAY 14 58 5,39 4,60 800 Million $ Number of aircraft Number of aircraft 5,39 4,60 Fleet average age Fleet average age 800 Million $ 15,2 Billion $ investment investment 1,9 Million 16,82 Million guests guests (2013) 112 2.250 flights/ week flights/ week 6 86 destinations destinations (36 countries, 30 domestic, 56 international)

Our fleet is very young Pegasus operates a fleet of 58 aircraft with a fleet age average of only 4,60 which makes Pegasus one of the youngest fleet.

100 A320 NEO ORDER

Risk Based Approach to Safety J Klinect and P Murray. Third ICAO-IATA LOSA & TEM Conference. Malaysia Airlines, Kuala Lumpur - September 13-14, 2005

Types of Threats Departure/Arrival Threats -Weather -Terrain -Traffic -Airport facilities, conditions -TCAS RA/TA Crew Support Threats -MX event, error -Ground handling event, error -Dispatch/paperwork -Crew scheduling event -Manuals/charts incomplete/incorrect Aircraft Threats -Malfunction -Automation event -Communication event ATC Threats -Challenging clearance -ATC error -Language difficulty -Radio congestion -Similar call signs Operational Threats -Time pressure -Missed approach -Flight diversion -Unfamiliar airport -AC swap Cabin Threats -Cabin event -Flight attendant error

Three Levels of Safety Management

From Reactive to Proactive Level Action: SIM Trainings SIM Trainings New FDM Event TOGA SW PRESSED N11 N12 FUEL FLOW #1 FUEL FLOW #2   %RPM PPH NOT PRESSED 21 21,1 912 992 22 21,5 1088 1008 23,1 1152 1056 24,5 22,8 1232 1104 26,4 23,5 1344 28,9 24,6 1536 31,9 26,1 1760 1328 PRESSED 37,3 28 2064 1472 49,4 30,1 2800 1616 64,4 33,3 4128 1840 80 40 6128 2384 87,8 53,9 7728 3232 88,5 53 9296 2112 79,9 42,9 6544 1216 69,1 37,9 4336 1376 58,6 33,5 2656 848 48,1 30 1568 752 37,4 27,4 928 672 31,6 25,4 768 608

Wireless Data Transmission for Flight Data Monitoring     If Yes, Compress the Data WQAR Determines it is “On Ground” Break Compressed data into 1KB packets Optional Delay Time Encrypt Each Packet En&r5pt E*ch P%c@et  Check if Allowed to Transmit

Pegasus End to End Solution

Unstable Approach Event Investigation

Programmable Data Extraction and Reports Thrust reverser deployment Fuel consumption per flight phase APU condition APU run time Emission Tracking Flight Control Centre

Enhancing Safety Intelligence and Efficiency Flight Data Flight Control Center - FCC Reserve & Landing Fee Savings

Fuel Management Optimum Flap Takeoff Flap Retraction Height Acceleration Height Idle Reverse Use at Landing Single Engine Taxi

Able to measure the performance of the operation Big Data - How to Use? Able to measure the performance of the operation AS A LOW COST AIRLINE WE NEED EVERY SINGLE SINGLE ENGINE TAXI 225.000$ OPTIMUM FLAP TAKEOFF 354.000$ REVERSE THRUST IDLE 157.000$

Enhancing Safety Intelligence and Efficiency HOWEVER IT’S NOT ABOUT MONEY SAFETY IS FIRST

THANK YOU