AI-based airport operation significantly reduces holiday congestion

At Singapore's Changi Airport, an AI-based airport operation system was piloted during the recent holiday season. AI analyzed baggage handling, boarding gate allocation, and passenger travel routes in real time, and adjusted the section where airport congestion was expected in advance.

As a result, waiting times for passengers have been reduced by an average of 30 percent and flight delays have been minimized. "AI has optimized staffing and guidance to match actual operational events beyond just analyzing data," an airport official said. The case shows that AI can play a role in increasing practical efficiency and safety not only for airlines but also for airport sites.

Thanks to AI's principle of providing optimal routes by calculating passenger flow, baggage movement, and boarding time, it was possible to move safely even in crowded areas. This technology is expected to spread to major airports worldwide in the future.