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Icelandic airport deploys AI-powered passenger forecasting solution

Keflavík Airport has become the first to adopt Veovo’s passenger management solution, designed to prevent airport crowding, improve capacity-planning and boost efficiency.

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The tool from Veovo will help to support airports' safe distancing initiatives
The tool from Veovo will help to support airports' safe distancing initiatives

Keflavík Airport (KEF) in Iceland has become the first to adopt Veovo’s new artificial intelligence (AI) passenger management solution as the country’s borders reopen.

 

Live Passenger Forecasting is designed to prevent airport crowding, improve capacity-planning and boost operational efficiency. Veovo hopes these capabilities will help to build passenger confidence in air travel and support social distancing initiatives.

 

Reducing uncertainty

 

As flights begin to resume globally, the ability for airports to cope with air travel fluctuations and new processes will be imperative to help minimise crowding and ensure smooth journeys, while operating under significant budgetary constraints.

 

Veovo’s Passenger Forecasting has been designed to reduce uncertainty around planning, enabling airports to handle unforeseen events.

 

The solution draws data from any available sources, including various sensor technologies, airline schedules and booking files, the Airport Operational Database (AODB), queue wait times and lane productivity, event calendar and boarding pass scans. Veovo states that this creates an accurate by-flight forecast of how passengers will arrive and transit through the terminal. The airport can then build a robust resourcing plan to match demand.

 

“During this Covid-19 period, new air traffic patterns and changing passenger behaviour means that we can no longer depend on plans based only on historical show-up patterns,” said Thordis Bjornsdottir, specialist in operation research at Isavia, Iceland’s airport authority.

 

“Veovo’s new live re-forecasting capabilities provide us with an early heads-up on changes to passenger presentation profiles. This allows us to easily adapt plans and rosters to reflect the current situation, improving journeys and keeping costs down.”

“During this Covid-19 period, new air traffic patterns and changing passenger behaviour means that we can no longer depend on plans based only on historical show-up patterns”

The solution continually re-forecasts, based on live data, and alerts the operator immediately when predetermined thresholds are reached. Resourcing and operational actions are recommended to minimise bottlenecks and prevent crowding, such as by adjusting call-to-gate time, changing border control lane openings or reallocating baggage belts.

 

It also allows the airport to understand the cause of the deviation from the plan, which could be anything from a late arrival, to a slower than predicted security process. This insight is then fed back into the future plan to continually improve the forecast accuracy, based on local conditions.

 

With a configurable, visual dashboard, airport partners, such as security, border control agencies and retailers, are also kept informed, as to when passengers will show up, and any impact on operational areas.

 

Intelligent airport platform

 

Available as part of the Veovo Airport Intelligent Platform, Passenger Forecasting can be customised to accommodate an airport’s access to data and planning needs and does not require any specialised skills to use.

 

“Thanks to our continued partnership with Keflavík Airport, we have been able to quickly launch these new enhancements to our Intelligent Airport Platform,” said James Williamson, CEO of Veovo. “We’re delighted it has been able to realise the benefits of real-time passenger forecasts since re-opening their borders to most travellers last month.”

 

Keflavik Airport uses Veovo’s Intelligent Airport platform across airside and landside operations. Capabilities include queue and passenger flow management and capacity optimisation, flight and resource management, and revenue management.

 

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