The artificial intelligence model will help reduce taxi wait times for passengers to and from the airport.
To better serve the thousands of passengers at the Vancouver International Airport , a trio of British Columbia Institute of Technology students has collaborated with the airport to develop an artificial intelligence model to predict transportation demand.
As a major hub, YVR needed data about its transportation demand to better manage traffic throughout the airport, a BCIT news release states. The system could help identify the number of taxis and carshares required at YVR every hour, reducing taxi wait times and make passenger movement at the airport more efficient.
The students, through the Centre for Internet of Things , developed an AI model by analyzing data gathered from the number of incoming flights alongside the number of taxis entering YVR every hour.
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