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Airport intelligence / London Gatwick

Gatwick: the control room and the aircraft stand

Gatwick is testing how much of an aircraft turnaround can be monitored away from the stand. Its wider airport-control programme is also gathering operational information into a shared view. Both raise practical questions about coordination, responsibility and measurable results.

easyJet aircraft on the apron at London Gatwick Airport, North Terminal bridge behind, June 2023
easyJet aircraft on the apron at London Gatwick Airport, North Terminal bridge behind, June 2023. Photograph: David Wheatley / CC BY-SA 4.0 (cropped to fit). Shows the airport, not an AI implementation.
The picture at Gatwick

Managing the work between arrival and departure

A departing aircraft depends on work carried out by people spread across the apron, terminal and control room. A delay in one place can change plans elsewhere. Gatwick's Smart Stand trial tackles the coordinator's view of an individual aircraft. Its airport-control programme addresses the information shared across the wider operation.

The Assaia computer-vision record adds some history to the picture. Gatwick was already exploring camera-based apron monitoring in 2019. The later Smart Stand trial is a separate project and should be assessed on its own evidence.

Several other technologies appear in the Gatwick register, including CT security scanners and robotic parking. Their presence does not establish an AI deployment or an improvement in airport operating performance.

Selected implementations

Three developments worth examining

01 / Pilot

Can a turnaround be managed from the control room?

The operational problem

An aircraft turn involves several teams working to the same departure time. The turn coordinator normally needs to be at the stand to follow progress and resolve hold-ups.

What the sources report

Gatwick and easyJet are trialling Smart Stand, which lets a turn coordinator follow the turnaround remotely. Gatwick says the system automatically records events and uses AI to predict aircraft readiness. Anti-collision controls form another part of the trial.

Operational relevance

If the trial works as intended, coordinators could oversee turns without remaining beside each aircraft. The operational test is whether this improves coordination without reducing safety or situational awareness.

Evidence still needed

This remains a pilot in the Aerostack record. Published evidence does not establish a sustained reduction in turnaround time or a wider operational rollout.

Sources and verification (2)

OAG · Evidence grade A

London Gatwick media centre · Evidence grade A

Sources document the reported activity. They may not verify its operational results.

02 / Deployed · limited scope

Bringing separate operational signals into one room

The operational problem

Flight schedules, passenger flows and ground transport all affect airport performance. Decisions become harder when each team works from a different picture of events.

What the sources report

Gatwick and Veovo announced an Integrated Airport Control programme in April 2025, working with Amorph Systems. Veovo describes a virtual control room combining flight information, passenger flow, transport connections and alerts. The record identifies an initial phase in use.

Operational relevance

The immediate interest is whether airport teams can spot competing pressures and agree actions sooner. The planned predictive Airport Operations Plan is a further ambition, with a different level of evidence from the initial deployment.

Evidence still needed

The sources reviewed do not quantify a Gatwick-wide improvement in punctuality, passenger flow or disruption recovery caused by this programme. The AI-specific contribution needs to be distinguished from conventional data integration.

Sources and verification (2)

Airport Technology · Evidence grade B

Veovo · Evidence grade B

Sources document the reported activity. They may not verify its operational results.

03 / Deployed · limited scope

Watching what happens on the apron

The operational problem

A turnaround can fall behind schedule before its delay appears in departure figures. Camera-based event monitoring offers another way to follow work at the stand.

What the sources report

British Aviation Group reported in September 2019 that Gatwick had introduced Assaia apron computer vision for operational use. Aerostack records this as a limited deployment on the available evidence.

Operational relevance

The deployment is an early example of airport-side interest in identifying turnaround events from existing visual activity. Its documented scope matters when comparing it with more recent stand-management trials.

Evidence still needed

The reviewed sources do not establish how many stands remain covered today, nor a measured improvement attributable to the system.

Sources and verification (2)

British Aviation Group · Evidence grade B

FTE Hub · Evidence grade C

Sources document the reported activity. They may not verify its operational results.

The wider register

Other activity at Gatwick

These records include operational technology, supplier announcements and projects at different stages. Their AI relevance and current status are assessed individually.

Stanley Robotics robotic valet parking at Gatwick South Terminal · Deployed

Gatwick launched robotic valet parking with Stanley Robotics in summer 2026, announcing on 23 July 2026 that it was the first UK airport to offer the service. The facility is near the South Terminal, and the first passengers were due to use it in August 2026.

Drivers leave the car in an enclosed cabin, confirm on a screen and keep their keys. Robots then lift the car by its tyres and move it to a parking space, and bring it back to a cabin in time for the passenger's return flight, according to Gatwick; the service must be booked in advance.

Gatwick first trialled Stanley Robotics' system in 2019, and figures from that trial, including a plan reported by The Independent to replace 170 self-park spaces with 270 robotic ones, do not describe the 2026 service. Gatwick has not published the capacity of the new facility or any usage figures since launch, and neither company describes the robots as AI.

Sources and verification (2)

Gatwick media centre · Evidence grade A

Stanley Robotics · Evidence grade B

Sources document the reported activity. They may not verify its operational results.

Open the full record →

CT security scanners in all 19 Gatwick security lanes · Deployed · full scale

Gatwick said on 31 March 2025 that all 19 of its security lanes used CT scanners.

The scanners were phased in with Smiths Detection, the airport said on 20 December 2023.

Sources and verification (2)

Gatwick media centre · Evidence grade A

Gatwick media centre · Evidence grade A

Sources document the reported activity. They may not verify its operational results.

Open the full record →

Veovo Passenger Predictability selected for Gatwick security · Reported · unverified

In November 2021 Veovo said Gatwick had selected its AI-powered Passenger Predictability software for security in the North and South terminals. Travel Weekly reported on 2 November 2021 that Gatwick was to deploy it.

In April 2025 Gatwick and Veovo announced a separate partnership on an Integrated Airport Control system, Airport Industry News reported.

Sources and verification (3)

Veovo · Evidence grade B

Airport Industry News · Evidence grade C

Travel Weekly · Evidence grade C

Sources document the reported activity. They may not verify its operational results.

What the evidence suggests

Gatwick's projects concentrate on knowing what is happening during a turn and coordinating responses across the airport. The two ambitions meet at the point where information becomes a decision made by an operational team.

For Smart Stand, the useful measures would include actual turnaround performance, coordinator workload and safety performance. For Integrated Airport Control, they would include the speed and quality of responses to disruption. Published sources have yet to establish those results at Gatwick.

Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.