The Veovo technology uses sensors to predict passenger flows at security areas
Leeds Bradford airport deploys artificial intelligence to tackle queues
A technology tie-in aims to improve queue management and passenger flows at Leeds Bradford airport.
AI-powered passenger predictability technology is being deployed to optimise security area operations and passenger flow throughout the terminal by analysing real-time data on passengers.
The Veovo technology, which aggregates data from multiple sensors throughout the terminal, accurately measures live passenger occupancy, throughput and queue times in security.
This enables airport managers to “dynamically resource” staffing, plan layout and lane openings, as well as predict potential queuing bottlenecks.
The airport can also proactively communicate wait times to passengers.
Chief operations officer and accountable manager Damian Ives said: “With many passengers returning to the airport, it was vital that we continue to provide travellers with smooth, safe journeys, as well as clarity and reassurance on their wait times.
“With Veovo support, we are now regularly delivering our targeted service level of greater than 90% of customers through security in less than 20 minutes.
“The Veovo solution helps us manage passenger expectations better, making for a more pleasant travel experience.”
James Williamson, chief executive of multi-modal passenger flow technology firm Veovo, added: “With such a rapid return to growth, airports of all sizes are tuning into the power of predictive technology to improve efficiencies and passenger experiences.
“Leeds Bradford joins other airports such as Amsterdam, JFK and Gatwick, which have partnered with Veovo to gather and analyse people flow data and proactively put it to work to make better plans and respond to customer needs faster.”