Leidos Subsidiary BEONTRA Releases New Future Travel Demand Feature

Leidos Subsidiary BEONTRA Releases New Future Travel Demand Feature

(Karlsruhe, Germany) September 21, 2022 – BEONTRA, a wholly-owned subsidiary of Leidos, a FORTUNE 500® science and technology leader, today announced the launch of the Future Travel Demand feature to its Route Forecasting solution. The new feature provides airports with access to forward-looking and historical data to better quantify market demand.

“COVID-19 completely upended the air travel industry and historical data alone is not sufficient to predict future demand for air travel,” said Martijn Verhees, Managing Director for BEONTRA. “BEONTRA rapidly adapted to these changes. We’re excited to offer the Future Travel Demand feature, which will accelerate airports into the new normal.”

BEONTRA’s Route Forecasting solution already provides customers with access to historical data, flight schedules, air passenger travel patterns, connection points and more to simplify the route forecasting process. The addition of the Future Travel Demand feature leverages travel search data, enabling BEONTRA customers to make more informed forecasting decisions for their airports.

The search data, which is integrated into BEONTRA’s Route Forecasting algorithms, is comprised of both online searches and traditional sales channels, such as travel agencies. This information will allow airports to predict near-term demand more accurately based on access to the most comprehensive and up-to-date information on travel behavior and trends.

Customers in attendance at BEONTRA’s user summit in Athens, Greece last week were able to see this feature in action. The Future Travel Demand feature is being rolled out as an add-on to the Route Forecasting solution.

For more information about the Route Forecasting solution, or the other solutions available on BEONTRA’s Horizons platform, visit www.beontra.com/solutions.


Since 2004, BEONTRA has been developing industry-standard integrated scenario planning and forecasting solutions for the aviation industry. With a flexible architecture, machine learning algorithms, and data intelligence, BEONTRA’s Horizons software platform provides answers to complex planning and forecasting questions. Based in Karlsruhe, Germany, BEONTRA has a global customer base. For more information, visit www.beontra.com.

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 44,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.

Certain statements in this announcement constitute “forward-looking statements” within the meaning of the rules and regulations of the U.S. Securities and Exchange Commission (SEC). These statements are based on management’s current beliefs and expectations and are subject to significant risks and uncertainties. These statements are not guarantees of future results or occurrences. A number of factors could cause our actual results, performance, achievements, or industry results to be different from the results, performance, or achievements expressed or implied by such forward-looking statements. These factors include, but are not limited to, the “Risk Factors” set forth in Leidos’ Annual Report on Form 10-K for the fiscal year ended December 31, 2021, and other such filings that Leidos makes with the SEC from time to time. Readers are cautioned not to place undue reliance on such forward-looking statements, which speak only as of the date hereof. Leidos does not undertake to update forward-looking statements to reflect the impact of circumstances or events that arise after the date the forward-looking statements were made.


Melissa Dueñas   
(571) 526-6850

Thomas Donheny
(571) 474-4735    

Victor Melara
(703) 431-4612

Machine Learning Helps Improve Baggage Handling Planning

Machine Learning Helps Improve Baggage Handling Planning

After years of steady passenger growth before 2020, and a natural strong focus on optimizing passenger movement, baggage handling systems have and will continue to be a major efficiency focus for airports. With peak demand reaching, and in some cases exceeding, 2019 levels, airports will be seeking ways to mitigate the challenges in baggage handling processes.

Baggage handling systems vary in design and throughput capacity. With increased flights and passenger volume over the years, airports are finding that their existing baggage handling systems reach capacity limits quickly and cannot keep up with current throughput demands.  There is a need to evaluate long-term development scenarios for baggage handling in the future.

Expanding a baggage handling system or building anew are both costly options. Hence, it is important to understand when capacity is likely to be reached, what effects changes in the process can have on throughput, and what can be done to leverage the existing infrastructure effectively for as long as possible.

Staff shortages are presenting additional challenges on baggage handling, such as screening stations and loading activities where properly trained staff are needed to effectively operate. Even though a good forecast and plan does not solve the staff shortage, it is crucial to be able to deploy the staff that is available more efficiently. An important prerequisite for this is to have an accurate baggage demand forecast that is updated regularly and accessible by stakeholders.

BEONTRA Solutions 

We have recently released a new feature as part of our Operational Forecasting solution. It is machine learning based prediction of expected baggage numbers.

  • View automatic prediction of future baggage numbers down to the single flight level
  • Analyze local, transfer and transit bag data aligned with passenger prediction
  • Gain access to key patterns, such as seasonality and special events

In addition, we have extended the flow modelling capabilities of our Terminal Capacity Management solution. All key facilities of the baggage handling system are included.

  • Access all passenger and checked baggage processes covered in one integrated model
  • Enjoy modelling capabilities for baggage processes in local arrival (e.g. reclaim hall processes) and departure flows (e.g. checked baggage screening, early bag storage, make-up areas), as well as transfer flows to depict the complexity of the terminal setup
  • Get an understanding of baggage distributions and peaks, as well as information and suggestions for optimal setup of staffed processes (e.g. number of 3rd level screening stations required to prevent bottlenecks)
  • View modelling options and capacity analysis for checked baggage screening, early baggage storage, transfer injection points, and baggage make up areas


If your focus is more short-term driven, all baggage forecasting, and flow modelling capabilities can be used as part of the Operational Terminal Awareness solution.

  • Include the latest available passenger and baggage information in the predictions
  • Show the effects of delays and changes in passenger and baggage numbers on your baggage flows to identify peaks and potential bottlenecks
  • Providing all baggage handling stakeholders with a single common source of information and support information sharing

Contact us or request a free demo to find out more about how BEONTRA can support your airport.

Flight cancellations are one of the main sources of deviations from what has been planned and forecasted in daily airport operations

Flight cancellations are one of the main sources of deviations from what has been planned and forecasted in daily airport operations

Flight cancellations are the dominating headlines in aviation news. Cancellation levels are nowhere close to the highs during the heights of COVID in 2020. Analysis shared in OAG’s recent webinar states that the percentage of cancelled flights is multiple percentage points above pre-COVID levels. As there is no quick solution in sight to resolve the omnipresent staff shortages, one of the main drivers of cancellations, these levels are here to stay – at least for a while.   

Cancellations are rarely known prior to creating security checkpoint staff plans or when preparing and planning the operations of other key areas in and around the terminal. Understanding which flights are more or less likely to be cancelled is critical, as is knowing how to best allocate available staff.  Gaining insight into flight cancellation patterns and trends will help to create more timely, accurate planning, and prevent, or at least minimize, disruptions for passengers. 

BEONTRA Solutions 

To help airports figure out patterns and identify flights that are most likely to be cancelled, we offer machine learning based cancellation probability and status predictions. This feature is available in our Operational Forecasting solution. The algorithms identify and learn from patterns in the past and use that data to predict cancellation probabilities for flights in the future, helping save time and create more accurate operational forecasts.  


Analysts have the flexibility set thresholds based on which flight should be considered as cancelled or scheduled. For example, flights with a predicted cancellation probability of more than 50% can be set as cancelled. Then both the probability as well as the status classification of the respective flight event is used to analyze and visualize the predicted impact of each flight cancellation, and the corresponding onboard passengers. These insights can then be easily shared with stakeholders. 

We also have extended the flow modelling capabilities of our Terminal Capacity Management solution to make use of the status information.  Based on that data, it is easy to create what-if scenarios and predict and simulate passenger flows, both with and without the passengers of the flights expected to be cancelled.

Contact us or request a free demo to find out more about how BEONTRA can support your airport.

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