AI for Airports

Challenges

An over-riding challenge for airport operators is to ensure that passengers enjoy the best possible experience in their airport. This is especially so these days when it can be fairly easy for a passenger to fly from a competing airport to their destination. At the same time, airports need to streamline their operations, maximize throughput and profitability of airport retail and catering establishments,  and ensure optimal safety and security inside and outside the airport.

 

Opportunities

Artificial intelligence has the capacity to see what’s happening in ways that humans cannot and predict behaviour throughout the whole airport. This leads to better insights and to increase both the passenger experience, operational efficiency and security,

For example by monitoring and predicting the number of passengers waiting at  various checkpoints, new security lanes can be opened when waiting times are predicted to be high, communication can be improved or passengers can be guided via other paths, increasing both the experience and dwelling time

By predicting behaviour and movements in an airport the operational teams can adapt and react accordingly.

See use cases for airports at a glance below!


What can AI do for Airports?

  • Leverage data to facilitate the real-time flow prediction of aircraft, passengers and supplies
  • Improve the quality of airport services
  • Predict baggage arrival times for better planning
  • Reduce queuing times
  • Optimize staff deployment and resource allocation
  • Increase revenue opportunities as airports continue to evolve from terminals to multi-modal business and leisure centers 

Results

Discover the AI solutions that Radix has implemented at a major European airport to streamline its operations and ensure that passengers have the best possible experience.


Read our innovation case