Cincinnati/Northern Kentucky International Airport (CVG) in the US has partnered with the University of Cincinnati (UC) to forecast crowding throughout the airport using artificial intelligence (AI) technology.
The ultimate aim is to offer an improved passenger experience.
This alliance is a direct outcome of a multi-year memorandum of understanding (MoU) between the two entities.
Under this collaboration, CVG appointed UC College of Engineering and Applied Science aerospace engineering doctoral student Javier Viaña to use airport data for developing a software programme.
This solution will enable the airport to forecast when passengers arrive at the airport, broken down into 15-minute increments.
Furthermore, Viaña has modelled queue lines at the security checkpoint utilising the data gathered by another programme previously developed by CVG.
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CVG CEO Candace McGraw said: “The main objective of this work is to improve the passenger experience and inform operational decision-making at the airport.
“The modelling done by Javier provides the airport and our business partners reliable data to prepare our operations based on passenger arrival predictions, potentially reducing crowding and wait times along the travel journey from parking and check-in to security screening and concessions.”
Viaña added: “What makes this model unique is how UC is using artificial intelligence based on fuzzy logic, a type of computer decision-making that allows us to provide a human-like explanation for its predictions. We refer to this type of algorithms as explainable and transparent.”
UC has received financial aid to execute the work under the Airport Cooperative Research Programme (ACRP).
This programme is an industry-focused network that comes up with near-term practical solutions for meeting airport challenges.
It has also been supported by the US Federal Aviation Administration, the Virginia Space Grant Consortium and The National Academy of Sciences, Engineering and Medicine.
Last year in November, CVG partnered with process automation firm TaskWatch and AWS Panorama for installing custom computer vision applications.