Reduce queue times for passenger security screening
Passengers consider security screening as one of the most stressful parts of their journey through the airport. They experience the screening process as invasive and annoying and often face a long queue in advance. Being uninformed on the expected queue time can raise stress (will I get to my gate on time?), which in the end might lead to a negative passenger experience.
GRASP Innovations was asked to provide a solution that is able to give an estimation on the expected queue time for an airport security checkpoint. Next to this, a solution is desired to evenly spread passenger across the available lanes in the checkpoint.
By deploying Xandar-Kardians’ area counting solution, we are capable of measuring the amount of people inside a queuing area. When combining this solution with a foot traffic count of passengers entering and exiting the queuing area, the flow of passengers (amount of passengers per time interval) can be determined.
With Xandar-Kardians’ near field sensing solution, short range occupancy near the sensor can be measured. By placing these sensors near the divest spots of the security lanes, the occupancy and availability of these locations can be determined.
An in and out count of passengers entering and exiting the queuing area provides insight on arrival patterns. Combined with an area count of the queue, an estimation can be given on the expected queue time. Finally, the information regarding divest occupancy of the security lanes can be used to guide passengers to the next available divest spot.
When the airport actively broadcasts the expected queue time, passengers have a better understanding on what their journey through the security process will look like. This can reduce the stress level and improve passenger experience.
Furthermore, actively guiding passenger to the next available divest spot in a security filter will reduce the idle time per security line. In this way, efficiency of the security process will be optimized, resulting in shorter queue times and optimization of staff allocation.
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