Progressing passengers from “road to runway” is no simple task. With multiple processes and checks along the way, bottlenecks can easily occur as peak time numbers surge. Yet Gatwick Airport has tackled these passenger pinch-points by using IoT sensors and data monitoring software to make the passage to flight significantly more efficient.

1. Road to Runway
From
with

2. Alex Webber
IT Development Specialist | Gatwick Airport
Paul Bannister
IT Development Specialist | Gatwick Airport

3. The most efficient single runway airport in the
world
Over 200 destinations in more than 90
countries around the world
46 million passengers each year on short and
long haul services
Over 120,000 passengers travelling through
every single day
Up to 55 air traffic movements per hour at
peak

4. From Road to Runway

5. TERMINALS &
AIRSIDE
The Challenge
• ~120k passengers a day in both terminals
• Inability to fully plan in event of disruption -
• Overcrowding challenges
Data Available
• Airfield Operational Database
• Xovis Sensors
• M-flow Track and Journey
• Scada Baggage System
• SAC
Heavy
Forwarder
Baggage
UF
Cloud Indexers
Xovis Sensors
DB Connect
M-flow Cameras
Stored Procedure

8. SECURITY
The Challenge
• Heavily regulated – CAA queue targets
• OPEX Heavy – Efficiency is vital
• Replacing old legacy systems
Data Available
• SEMS X-ray data
• Xovis Sensors
• M-flow Track and Journey
• Net ID – AMD database
• Forecast data
• ANPR
Heavy
Forwarder
Server
UF
Cloud Indexers
M-flow Cameras
Stored Procedure
X-rays
DB Connect

10. Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name
Officer Name Officer Name Officer Name
Officer Name Manager Name

11. AIRFIELD
The Challenge
• 55 air traffic movements an hour –
Efficiency is key
• Late departures carry huge cost – On time
performance a KPI
• Third party handling agents play big role
Data Available
• Airfield Operational Database
Heavy
Forwarder
AODB
Cloud Indexers
DB CONNECT

13. Other Use Cases

14. SPLIDS
The Challenge
• FIDS (Flight Information Displays) are
cloud based
• Loss of internet results in P1
• Manual updates only option
Data Available
• Airfield Operational Database

15. © 2019 SPLUNK INC.

16. CALL FORWARD
• Loading (divest) stations require constant
feed
• Resources required elsewhere
• Trialled a third-party solution
• Already consuming sensor data
• We need to control the content
• Can be expanded to queue areas
Data Available
• Xovis Sensors

17. © 2019 SPLUNK INC.

19. Q&A
Alex Webber | IT Development
Specialist
Paul Bannister | IT Development
Specialist