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Launch of another Better Airport module
Copenhagen Optimization

Copenhagen Optimization will release its newest module for its Better Airport software, Better Stand & Gate, at this year’s Passenger Terminal EXPO. Better Airport is a cloud-based software solution that enables planning, execution and evaluation of airport operations, with a focus on the user experience and reduction of manual planning processes.

The Better Stand & Gate module will allocate aircraft to stands and gates by considering all constraints and forecasts, estimated times and aircraft links, using machine learning. Created using Horizon 2020 funding, the solution refines the machine learning components and advances Better Airport’s aircraft allocation solution.

Currently the company has Better Forecast, Better Check-in, Better Security, Better Border and Better Baggage modules in operation. “These provide a complete and modular solution that covers the entire terminal operation,” says Kasper Hounsgaard, managing partner and founder of Copenhagen Optimization. “Our newest module, Better Stand & Gate, will add in information about aircraft parking. It’s already hard enough to plan gates in isolation, but our module has the ability to give a complete picture of what happens in the terminal based on the stand schedules.”

“Everything that happens in an airport is affected by which parking gate is used,” explains Hounsgaard. “This includes staffing levels, security, baggage and even retail. We can map the gates used and predict the activity in the terminal. Airports can plan ahead, but a plan based on scheduled times of arrival and departure can be inaccurate, as the scheduled times are rarely what transpires.

“So AI and machine learning take the scheduled arrival and departure times and integrate historical data to predict more accurately what time the airplane will actually land or take off. Based on this information, it can optimize the stand and gate allocation. The airports can plan for staffing levels or tasks, or even lighting and heating, based on where passengers will be at any given time. Ultimately we want to give airports the ability to predict what actions they need to take before they need to do it.”

Booth: Z2.4130

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