Regulatory Impacts on Multiple AOC Operations Moderator: Alex De Gunten, Business Development Officer, HEICO Panelists: Walid Al Rahmani, Director

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2 Flight Ops Stream

3 Regulatory Impacts on Multiple AOC Operations Moderator: Alex De Gunten, Business Development Officer, HEICO Panelists: Walid Al Rahmani, Director Policy, Regulations and Planning, GCAA UAE Stephen Creamer, Director, Air Navigation Bureau, ICAO Tim Steeds, Director of Safety and Security, British Airways Luc Tytgat, Strategy and Safety Management Director, EASA

4 Thank You to Our Networking Break Sponsor:

5 An Outlook to the Future of Air Traffic Management (ATM) Challenges & Opportunities Moderator: Sergio Quito, Chief Operating Officer, GOL Airlines Panelists: Stephen Creamer, Director, Air Navigation Bureau, ICAO Carey Fagan, Executive Director for International Affairs, Federal Aviation Administration (FAA) Florian Guillermet, Executive Director Operations and Programme, SESAR Joint Undertaking Rudy Kellar, Executive Vice President Service Delivery, Nav Canada Nithaar Zain, Head of International Affairs, Singapore Airlines Limited

6 Moderator: Airport Operations Session Conducted in Association with Airports Council International (ACI) Ian Witter, Head of Airside Regulation and Oversight, Heathrow Airport Chair, World Safety and Technical Standing Committee, Airport Council International (ACI) Panelists: Craig Bradbook, Vice President Aviation Services, Greater Toronto Airports Authority Steven Yiu, General Manager Airfield, Airport Authority Hong Kong Rob Eagles, Head of ATM, IATA

7 IATA SFO Airport Operations - Heathrow April 2017 Ian Witter Head of Airside Regulation & Oversight

8 Airport Operations (APOC): Purpose 8

9 LHR is impacted by a number of factors that have a negative affect on punctuality especially during summer periods European ATC French ATC strikes Pressure across European networks Capacity limitations within key sectors such Maastricht due to higher demand UK/European Airport passenger growth Increased demand for Local London Airspace LTN, STN, LCY growth up ~10% LGW up ~5% Airside Operations LHR NB: Q6 summer operations are more sensitive to above factors Weather related impacts S16 impacted by prolonged CB activity European weather impacting arrivals and rotational departures June 2016 worst on record Increasing number of A380s in operation Impact on punctuality: increased wake vortex, taxi, arot turnaround times 26 in operation as of 2016, to increase to 34 by 2017/18

10 Resilience - Strive for 5 Airspace congestion due to traffic growth in UK and Europe European ATC strikes and flow restrictions. Target 5% increase in punctuality to 82% Themes Flow it Balance it Turn it Move it Time Based Separation - YES RECAT Vortex separation SID balancing northbound/southbound bias - YES A-CDM and TOBT improvements - YES AMAN/DMAN Rapid Exit Taxiways - YES

11 etbs example Illustrative: Not to scale Current HEAVY MEDIUM 6 Nautical Miles Is converted to time based separation A343 etbs example A Nautical Miles Is converted to time based separation

12 IPA - Benefits modelling focussed primarily on the use of an increased landing rate Illustration of benefits Modelling approach Modelled benefits CBA Sensitivities Dependent parallel approaches Current operations A D With TEAM Independent parallel approaches Increase landing rate scenario A D Additional arrivals enabled Dependent parallel approaches Current operations A D Independent parallel approaches Maintain landing rate scenario A D With TEAM Additional departures enabled Space for additional departures 12

13 Independent Parallel Approach at Heathrow Simultaneous independent arrivals to both runways at Heathrow to enable during Easterly and Westerly operations and in accordance with TEAM rules utilising RNP AR 0.15 to departure runway/ils to arrival runway. RNP AR approaches accommodated in current Heathrow airspace IPA Ops No gap required to allow lander on departure runway 27R BAW423 A09 LL SHT3N A20 LL BAW38 A31 LL 27L UAE10 A20 LL RNP-AR a/c Automated monitoring and alerting system - no monitor controllers required. Monitor frequency to be selected by all inbound aircraft for issue of any necessary breakout instructions

14 Independent Parallel Approach at Heathrow Automated Monitoring & Alerting Concept

15 Headlines eils eils replaces the old ILS and to reduces the Dynamic Localiser Sensitive Area (DLSA), which will increase the runway capability during Low Visibility Procedures and reduce the A380 operational constraints Glidepath on the ground operations Localiser Foundations and sub-base Earthworks New pits and ducts Working around services Electrical works Barriers and Bollards Pavement and markings Antennas replaced New cabin 32 Arrays ILS installed

16 New enhanced technology deployed 1st 27R Loc 09L Glid 27R Glid 09L Loc 4th 2nd 27L Loc 09R Glid 09R Loc 27L Glid 3rd

17 eils Benefit Specifics Allows Independent A380 operations on Alpha/Bravo south in LVPs No requirement for extra gaps to manoeuvre A380 from Alpha onto Bravo in LVPs Reduction in runway crossing times of the Southern Runway in LVPs (i.e. 10nm to 8nm) Reduction in A380-A380 spacing from 7nm to 6nm in LVPs (and potentially further) If 5nm spacing, every 3 pairs A380-A380 will save 1 movement in LVPs Ability to handle multiple A380s in Wide Area of the DLSA (currently only 1) and retain ILS usage, as no DLSA 5nm spacing in LVPs and Increased resilience in LVPs Opens up Sierra 11 for departure to Code D aircraft in LVPs The benefit of the eils in normal visibility condition is a small reduction the probability of goarounds behind A380s on 27L.

18 This equals an increase of 4-6 arrivals per hour during LVP s* Assumptions: The flow rate under current ILS is The flow rate with eils will be (i.e. increase of +4) Operational experience / additional benefits above the spacing benefit may allow this rate to increase to (i.e. increase of +6) but this is an stretch target Note: The increase in arrival rate may limit TEAM during long periods of LVPs (2 hours +) as start up delay would become an issue. *The TEAM +6 remains

19 Benefits - eils reduces DLSA, thus increase landing capability during LPVs and reduces A380 operational constraints New DLSA for the A380 with existing aerial. Better for safety and (ROT) edlsa 82m* Centreline to 27R ILS aerial Clearance Current DLSA for the A380 with existing aerial. Complicated shapes, different for each runway. Extended Runway centre line Existing LSA shape with existing aerial New DLSA for all for aircraft the A380 (excluding with existing the aerial. New Better elsa including A380 s with new aerial A380) for safety and (ROT) As per existing LSA shape 27L ILS aerial Extended Runway centre line edlsa 82m* Centreline to Clearance Current DLSA for the A380 with existing aerial. Complicated shapes, different for each runway.

20 Current Masterplan Submitted to Airports Commission 200 fewer homes Fewer people affected by noise Runway farther west Heathrow West Heathrow East New green space 3 independent runways 740,000 ATMs 130 mppa Min connect times of mins 3 million tonnes cargo pa New cargo area #

21 Expansion Timeline Government announcement 2017 Government consultation on draft NPS 2022 ACP formal consultation? Heathrow Stage 1 consultation 2018 NPS designated by Government 2023 ACP final submission? Heathrow Stage 2 consultation SoS ACP approval? Heathrow submit DCO application New runway operational 2021 Government decision to grant DCO

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23 IATA Safety & Flight Operations Conference Seoul, April 25, 2017 The case for Craig Bradbrook Vice President, Aviation Services Greater Toronto Update Airports Confidential Authority

24 The YYZ Challenge Managing Growth and Complexity 24

25 Growth Passengers (Year) + 13M passengers 57M (2021) Aircraft Movement (Year) 55M 488K (2021) 480K 50M 45M 44.3M (2016) + 70K flights 460K 440K 40M 419K (2016) 420K 35M Passengers Aircraft Movements (ATB) 400K

26 Complexity Infrastructure 2 Terminals built to different standards 128 aircraft stands 60% Narrow body only % of Wide body increasing Gate assignment rules Adjacent parked aircraft Terminal apron Horseshoes Congestion Designed for an O/D operation Connecting passengers > 30% Processes Each terminal has three segregated sectors Domestic, Transborder and International Aircraft gating restrictions Swing gates within the terminal US pre-clearance Special baggage processes US CBP, One Stop Security, International-to-Domestic (ITD) TWOV limitations Other factors Winter operation and aircraft deicing Hold over times and taxi out times Weather elsewhere Arrival OTP issues Gating conflicts hardstand Ground handler resources Winter sun destination operations Delays accumulate Last flight arrives very late Restricted hours General Aviation 26

27 Executing the aviation operation in real time Aspect Complexity of the operation Trend Customer expectations (airlines, passengers, stakeholders) Scale of operation Potential for something to go wrong Potential impact of events Potential reputational risk Solution (Video) Decision time / Response time 27

28 A-CDM: A win-win AIRLINES Shorter taxi times Reduced fuel burn More efficient turn around Reduced delays Better crew management Improved passenger experience AIRPORT Reduced environmental impact Improved punctuality Improved gate/stand management More efficient deicing process Reduced apron congestion Optimization of capacity Reduced workload, more predictable traffic Better planning and use of resources ANSP Reduced probability of errors Better pre-departure sequence Reduced taxiway congestion SERVICES Improved customer satisfaction Increased productivity Improved safety 28

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30 Hong Kong Intrnational Airport Collaboration Between Airports and Airlines on Process Transformation 25 April 2017 Mr. Steven Yiu General Manager, Airfield Airport Authority Hong Kong

31 HKIA Statistics 190 destinations 2 Terminals 50 countrie s >100 airlines 2 runways 42 mainland destinations

32 HKIA Statistics Hourly movements 68 Daily average 1,200 movements 2016 Annual movements 411,530 Daily movement record 1,226 (6Feb2016) Monthly movement record 35,666 (Dec 2016)

33 Case 1 Airport Wide Vehicle Tracking System (GPS) GPS installation completed with stable operation All airside motorised vehicles (3500 no.) installed with vehicle tracking system Vehicle location information for resource deployment Speeding reduced by > 50% Incident/ accident investigation (e.g. pilferage cases) Future integration with ACDM to monitor aircraft turnaround IoT Big Data Analysis

34 Case 2 Full Implementation of HKIA ACDM and Future Inter-airport ACDM Collaboration Stage 1: completed in 2013; Stage 2: Full scale will be launched in July 2017 Real-time airport collaboration, i.e. TOBT and TSAT On-Time-Performance monitoring Aircraft towing and ramp service coordination platform Interface with T-CDM and Internet of Things (IoT) for better resources planning and management (Not Implemented at HKIA)

35 Case 3 ROTA Data Sharing with Airlines Four-month interval real time - Performance of each flight under monitoring - Follow-up with individual pilot for improvement To increase runway capacity in the medium to long run 35

36 Case 4 Provision of Common Training Facilities & Standardized Trainings Fixed and mobile training facilities for aircraft loading bridge docking training and on-site qualification examinations Fixed B777 /A320 Fuselage Mock up Mobile A330 Fuselage Mock up Virtual Reality Trainings Develop a customized system and train airport staff i.e. ALB operation, Airside driving

37 Case 5 Airide Equipment Pooling Phase 1 Safety Cones for RHOs and CTOs Chocks, earthing cables and steps for LMOs Passenger Step Phase 2 (to be implemented) Provision of Conveyor Belt Loaders, Lower Deck Loaders, Main Deck Loaders to RHOs to improve arrival baggage delivery KPIs i.e. 20/40 min pledge of first/ last bags Uphold Equipment Standard Reduce Apron Traffic Lower Deck Loader Conveyor Belt Loader

38 Case 6 Multi-parties Collaboration Integrated Airport Centre 7 x 24 IAC inter-department operations and coordination Manned by a) Airport Control Centre Personnel, b) Home-based airlines representatives, c) Ramp Handling Operators, d) Line Maintenance Operators, e) Airport Security, etc. to facilitate seamless real-time operational flows, planning and emergency response and management

39 Thank You

40 Moderator: Airport Operations Session Conducted in Association with Airports Council International (ACI) Ian Witter, Head of Airside Regulation and Oversight, Heathrow Airport Chair, World Safety and Technical Standing Committee, Airport Council International (ACI) Panelists: Craig Bradbook, Vice President Aviation Services, Greater Toronto Airports Authority Steven Yiu, General Manager Airfield, Airport Authority Hong Kong Rob Eagles, Head of ATM, IATA

41 Thank You to Our Networking Break Sponsor:

42 Extracting the Value of Big Data in Aircraft Operations

43 One presentation, Five speakers! Dave Jesse Do we have Big Data? Jon Tree Data to and from a modern aircraft Christopher Solan An aviation Big Data platform Billy Nolen What airlines want from Big Data Andy Sage Merging data from many sources

44 Dave Jesse Flight Data Services CEO Analyzes lots of data Hundreds of operators Thousands of aircraft Millions of flights

45 Big Data characteristics 5 V s of Big Data Volume Aviation data

46 All world s FDR data for a year 100PB 100,000,000,000,000,000 Bytes

47 Volume Lots of data FDR data used over many years Example: B787 records 1,800 parameters First 100 parameters relate to flying Remainder relating to engineering

48 Big Data characteristics 5 V s of Big Data Volume Variety Velocity Veracity Aviation data Not that big Related sources Modest

49 Veracity Normal instrumentation failures Occasional design errors ILS frequency 109.?5 MHz

50 Big Data characteristics 5 V s of Big Data Volume Variety Velocity Veracity Value Aviation data Not that big Related sources Modest Good; stable High?

51 Do we have Big Data?

52 Jon Tree Boeing Digital Aviation & Analytics / Jeppesen Director of Aviation and Regulatory Standards, Industry Relations Flight operations efficiency solutions, crew, fleet, flight planning, EFB, information management and data analytics

53 Boeing 5-A Model Airspace Airspace & Procedure Design Traffic Flow Management Enroute/Real-time Optimization Trajectory Based Operations Airplane ANSP Infrastructure Regulatory and Fees NextGen, SESAR, CARATS, others Airline Flight Operations Maintenance & Engineering Data & Information Management Crew and Fleet Communications & Connectivity Data Management & Equipage Integrated Design and Analytics Airport Surface Movement Arrival & Departure Optimization Gate & Equipment Optimization Capacity Constraints

54 Information Serving Operations Advancements in aircraft sensor data capture Converting data into information serving operations through System Wide Information Management (SWIM) Providing interoperable solutions for Collaborative Decision Making (CDM) and Predictive Risk Reduction (PRR) Using data and analytics for operational benefits safety, efficiency, capacity, and systemic improvements

55 The aircraft as a sensor Digital Flight Data Acquisition Unit (DFDAU) and Flight Data Recorder (FDR) ACARS and Quick Access Recorder (QAR) Aircraft Health Management (AHM) Turn information into insight Decision support tools Aircraft Condition Monitoring System (ACMS) Fuel performance monitoring Maintenance fault communication Improved custom alerting and analytics

56 The flight crew / aircraft central to efficiencies Precise 4D position and trajectory information - future vision of 4D Trajectory Based Operations (4DTBO) DataComm data link services for ATM (i.e., CPDLC and DCL) Broadband and narrowband capabilities for information management EFB and the Aircraft Interface Device (AID) On-Board Navigation (Network) Server EFB and Electronic Log Book Secure Server Router (777-X) Advanced ATM through Flight and Flow Information for a Collaborative Environment (FF-ICE)

57 SWIM operational data consumption

58 SWIM supports network optimization through CDM Historical Data Internal Airline Information Advanced Analytics Predicted System state Operational Decisions Current and predicted state (airspace, airports) SWIM Intent Other ATM Actors

59 Data to and from a modern aircraft

60 Christopher Solan GE Aviation Senior Product Manager Delivers a big data analysis platform fuel management precision-based navigation safety

61 Flight Data A walled garden Legacy of privacy, privilege Silos, firewalled Closed technology Proprietary formats

62 Platform Opening the walled garden Flight Analytics Channels Flight Analytics Hub Analytics Explorer APIs Configurable Dashboards Mobile Apps Direct Application Connection Business Intelligence Connectors Advanced Analytics Ops Profile Fuel Profile Safety Profile Personal Custom Analytics Development Data Integration and Core Analytics Standard Events Custom Events Standard Measurements Custom Measurements Raw > Logical Parameters External Aviation Data Navigation DB WX Terrain Customer Data Flight Data Flight Plans OOOI Times Load Sheets

63 Expand the audience Dashboards Mobile apps Personalized analytics

64 An aviation Big Data platform

65 Billy Nolen Airlines for America Senior Vice President, Safety, Security and Operations Leader of the Operations Division Air and Ground Safety Security Flight Operations Air Traffic Management Engineering and Maintenance Cargo Services

66 Billy Nolen Airlines for America Early days at American Airline - lack of strong actionable data Success of CAST in the US Aggregated data has contributed to accident reduction Desire to get to actionable intelligence for multiple data streams Need tools to extract meaningful information. Big Data can contribute to operational performance and safety

67 What airlines want from Big Data

68 Andy Sage National Air Traffic Services Account Director, Airlines and Airspace Heads Information Business Translates data into real value for airlines and airports

69 Big Data for Flight Ops: Airline A Are my pilots correct that we are being held down at lower flight levels? Analysed actual flown data versus Flight Plan Evidence of no level cap for past 6 months Resulted in change of flight planning policy Associated fuel & environmental benefits.

70 Big Data for Flight Ops: Airline B Am I planning more fuel than I need on my network? Analysed actual flown data versus Flight Plan Identified extra unnecessary track mileage planned Enabled future changes to the flight planning system Flight routing efficiency improvements Potential reduction in fuel uplift

71 Big Data for Flight Ops: Airline C Is my flight time performance consistent with other operators? Actual flight time against scheduled block time Provides time allocated for ground movement Analysed on-time arrival performance Assessed against other operators Uncover inaccurate block time scheduling Reduce or increase future schedule times Improve network on-time performance Chart showing complexity of data at the same time as how to derive result

72 What has stopped us until now? Industry challenges to unlock the true potential of data: Lack of transparency to high value data Inability to benchmark due to data silos Complex ownership and consolidation Cost of access and storage We want to gather long term statistical data but cannot access it beyond 6 weeks as it is embedded within separate vendor platforms

73 So what s different now? Opportunities to provide the industry with: Availability of data Cloud hosting services Ability to deliver solutions Ability to process vast amounts of data Real time operational insight

74 What other questions can we answer? Performance against other operators: On-time arrival performance Average flight times and block time performance Horizontal and vertical performance Overall flight efficiency of a route Throughout all phases of flight The beauty of Big Data is that you can see the answers before you know which questions to ask!

75 Merging data from many sources

76 Big Data Discussion

77 Extracting the Value of Big Data in Aircraft Operations Moderator: Dave Jesse, CEO and Founder, Flight Data Services Panelists: Billy Nolen, Senior Vice President Safety, Security and Operations, A4A Andrew Sage, Account Director (Airlines and Airspace Users) NATS UK Christopher Solan, Senior Product Manager, GE Aviation Digital Solutions Jonathan Tree, Director of Aviation and Regulatory Standards, International and Industry Relations, Boeing/Jeppesen

78 Summary Probably: We have lots of data but not the volumes or complexity of many Big Data systems We can adopt Big Data techniques for aviation Some systems working, more to come

79 Thank you to the Panel Jon Tree Christopher Solan Billy Nolen Andy Sage

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81 References Amazon Snowmobile photos from Jeppesen statue from [copyright grasshoppair.com] Should be replaced by photo of Jon Tree Billy Nolen photo from A4A website (high res download) Microphone photo

82 IATA-Led Workshops All rooms are located upstairs on Level Two. Flight Data Connect Namsan V Insight into IATA s Operational Efficiency Tools Namsan II Integrated Management Solutions (IMX) Namsan I SkyFusion Namsan VI

83 Conference Dinner Sponsored by: Location: Grand Ballroom Time: 19:30 Please Bring Your Ticket for Entry