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NEWS Last modified on February 4, 2019

NATS trialling the use of artificial intelligence to reduce delays at Heathrow

Air traffic management operator, NATS, has begun a trial to understand whether Artificial Intelligence (AI) could be used to help reduce flight delays.

A project is now underway, within NATS’ bespoke Digital Tower Laboratory, at Heathrow Airport to test whether a combination of ultra HD 4K cameras along with state-of-the-art AI and machine learning technology can be used to help improve the airport’s landing capacity in times of low visibility and improve punctuality.

Heathrow’s 87 metre tall control tower is the highest in the UK and provides commanding views of the airport and surrounding landscape, but its height can also mean it disappears into low cloud, even when the runways below are clear.

In those conditions, where the controllers have to rely on radar to know if an arriving aircraft has left the runway, extra time is given between each landing to ensure its safety.
Aerial
The result is a 20% loss of landing capacity, which creates delays for passengers and knock-on disruption for the rest of the operation.

NATS is deploying 20 ultra high-definition cameras at the airfield, the views from which are then fed into an AI platform called Aimee, developed by the Canada-based Searidge Technologies.

The Aimee platform can interpret the images, track the aircraft and then inform the controller when it has successfully cleared the runway. The controller then makes the decision to clear the next arrival.

NATS believes the system will help the airport reclaim all the lost capacity.

Non-operational trials are now underway to understand the feasibility of introducing the technology into service as early as this year.

From now until March, Aimee will study the behaviour of more than 50,000 arriving aircraft to ensure the accuracy of the system. The project findings will then be presented to the UK Civil Aviation Authority. 
tower
The same technology might also be used to one day control the airport’s third runway.

Andy Taylor, NATS' chief solution officer, said: “Safety is always our top priority and Artificial Intelligence is about supporting air traffic controllers. 

"While they remain the decision makers at the heart of the operation, we can use it to provide new tools that help them make the best possible decisions and improve efficiency and safety.

“Right now we’re focusing on when the control tower is in low cloud, where I’m confident we can make a very positive difference, but I am convinced that this technology can totally revolutionise how air traffic is managed at airports around the world.”
Natty
The trial is part of a £2.5 million investment NATS has made in a ‘digital tower laboratory’ located inside the Heathrow control tower.

There, it is working with the airport to understand how technology could support the air traffic operation now and in the future.

UK Aviation Minister, Liz Sugg added: “The UK’s aviation sector is a world leader, connecting passengers to destinations around the globe through a brilliant service.

"I’m determined that this sector continues to drive up standards and investing in innovative technology is good news for passengers and good news for airlines, helping improve journeys and customer satisfaction.”

While Heathrow's operations director, Kathryn Leahy, noted: “We’re delighted to be working with NATS to bring this pioneering technology to the UK’s only hub airport.

Enfin
"Our capacity challenges are unique to our operation and we’re always exploring new and innovative techniques to help us overcome these constraints and improve the passenger experience in a safe and resilient manner.

“We’ll be keeping a close eye on this trial, as the technology could have a major role as we prepare for the expanded airport. We will watch how AI and digital towers could be used to monitor all three of the expanded airport’s runways in future.”

As well as at Heathrow, NATS and Searidge are working with Changi Airport in Singapore to create the world’s first ‘smart tower’ prototype. 

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