Tuesday 17th September 2019

Splunk and Gatwick improve efficiency by applying intelligence to transport

Published on October 11th, 2017

Splunk are working with Gatwick to improve flight capacity and aircraft turnaround time using it’s data analytics platform, Splunk Enterprise. The end goal is to completely remove queuing from the passenger experience.

Splunk and Gatwick Airport

At the moment, Gatwick’s IT systems analyse all passenger movements from check-in to bag drop, through security, into the lounge and onto the plane. The data collected is routed through Splunk to identify performance gains. For instance, when a boarding pass is scanned, it takes less than five seconds for validation to come through. This means much faster throughput through security and has almost completely eliminated queuing for passengers.

Gatwick now expects 95% of passengers to walk through central within five minutes. Splunk has also helped Gatwick to increase the number of slots from 52 to 55 per hour, resulting in a significant increase in revenue for the airport.

Splunk and New York Air Brake

The $60 billion (€50.76 billion) US freight rail industry relies on Splunk software to capture a variety of sensor data right off the rails and analyse it in real time. By listening to the remote sensors (on average 10-12) installed on each freight train, New York Air Brake, a manufacturer of air brake and train control systems, can analyse train performance and fuel efficiency, while ensuring that trains are running to time.

Insights from this data allow New York Air Brake to make informed and critically, safe decisions. This might range from warning a driver to back off the throttle 5% to increase fuel efficiency or alerting an engineer that gravitational forces threaten to create a dangerous situation a few miles down the track.

Using Splunk to analyse sensor data from thousands of trains has allowed New York Air Brake to save the US rail industry $1 billion (€0.85 billion) of fuel costs, equating to 250 million acres of forestry in CO2 emissions.

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