The aviation industry and ecosystem is increasingly connected and data-driven, opening the doors for industry leaders to identify more effective ways of putting data to work to boost operational efficiency and the overall passenger experience. As the aviation ecosystem becomes more sophisticated in how it stores, manages, and processes flight data, we can expect to see more proactive applications that can better anticipate the various moments in the passenger journey.

This proactive approach to the power of data is demonstrated in a recent announcement from one of our editorial board members, FlightAware. According to the news, Fraport AG, a predominant manager in the global airport business, will begin using real-time predictive runway arrival times, known as “ELDTs” (Estimated Landing Times), delivered via FlightAware’s Firehose feed to further optimize Frankfurt Airport’s operations.

With this machine learning-powered technology, Frankfurt Airport will be able to leverage and analyze data from hundreds of thousands of flights and optimize airfield efficiency and ground personnel allocation. The ability to accurately predict runway arrivals with this mountain of data is especially useful for the airport with the most direct routes in the world and one that sees an average of 1,500 flights per day. Not to mention this application is just in time for what is expected to be one of the busiest summers for travel on record.

“FlightAware’s innovative predictive technology will take Fraport’s operational excellence to the next level,” said Dr. Pierre Dominique Prümm, Fraport AG’s executive board member for aviation and infrastructure in their recent press release. “We are gaining a powerful real-time tool for advancing our Frankfurt Airport operations – benefiting both our airlines and passengers. Ultimately, we are reinforcing our commitment to ensure all passengers have a ‘good trip’ via Frankfurt Airport,” stressed Prümm.

“Traditionally, our data has been used to understand past or present events. Fraport’s use of our ELDTs is an important step for us and demonstrates our ability to predict future events,” said Daniel Baker, FlightAware Founder and CEO, in the announcement. “This will undoubtedly have a positive impact on the more than 70 million passengers traveling through Frankfurt Airport each year.”

Seeing predictive analytics applied to the aviation ecosystem is momentous and Connected Aviation Today is interested in seeing how other applications of machine-learning will be used to continue optimizing airport efficiency and the passenger experience.

Chelsea Barone

About Chelsea Barone

Chelsea is an editor for Connected Aviation Today, managing the day-to-day editorial activities. Chelsea writes for other federal government and technology industry publications. Her background lies in B2B and enterprise technology, specifically cloud computing, SaaS, travel IT, and mobile devices.