SHA using AI to improve apron efficiencies

Health & Leisure
Thursday, 27 July 2023

China’s Shanghai Hongqiao International Airport (SHA) has chosen advanced technologies from Adb Safegate (AI-powered solutions) coupled with ML algorithms to improve apron efficiency, stand usage and passenger experience at reduced operational costs.

 

Already a user of the Airport Operational Database/Resource Management System (AODB/RMS), Adb Safegate built a new prediction model applying advanced AI/ML techniques and data analytics that help calculate an aircraft’s ETA and pre-allocate flight stands. It will reduce unreasonable stand adjustments and improve the airbridge usage rate, lowering overall security risks caused by flight conflicts. 

Prior to the Covid pandemic, SHA was facing multiple operational challenges - from increased flight traffic and crowded aprons to providing improved services to passengers - while maintaining safety. 

Accommodating new flights looked unlikely due to limited resources, which was leading to increased costs and constraining airport revenue.
“Thanks to the AI prediction algorithm, 75 per cent of our flights now land within 30 minutes of their scheduled landing time. 

“This improved accuracy has directly benefited our pre-allocation of stands, reducing the need to make stand changes by 25 per cent. This has decreased security risks caused by flight conflicts as well as allowed more passengers to avail airbridges rather than wait for buses," said Wang Zhi, section manager of SHA ITC.

SHA using AI to improve apron efficiencies

Health & Leisure
Thursday, 27 July 2023

China’s Shanghai Hongqiao International Airport (SHA) has chosen advanced technologies from Adb Safegate (AI-powered solutions) coupled with ML algorithms to improve apron efficiency, stand usage and passenger experience at reduced operational costs.

 

Already a user of the Airport Operational Database/Resource Management System (AODB/RMS), Adb Safegate built a new prediction model applying advanced AI/ML techniques and data analytics that help calculate an aircraft’s ETA and pre-allocate flight stands. It will reduce unreasonable stand adjustments and improve the airbridge usage rate, lowering overall security risks caused by flight conflicts. 

Prior to the Covid pandemic, SHA was facing multiple operational challenges - from increased flight traffic and crowded aprons to providing improved services to passengers - while maintaining safety. 

Accommodating new flights looked unlikely due to limited resources, which was leading to increased costs and constraining airport revenue.
“Thanks to the AI prediction algorithm, 75 per cent of our flights now land within 30 minutes of their scheduled landing time. 

“This improved accuracy has directly benefited our pre-allocation of stands, reducing the need to make stand changes by 25 per cent. This has decreased security risks caused by flight conflicts as well as allowed more passengers to avail airbridges rather than wait for buses," said Wang Zhi, section manager of SHA ITC.