New Delhi: Delhi’s Indira Gandhi International Airport (IGIA) has introduced the Unified Total Airside Management (UTAM) system to enhance airside operations. Developed by Delhi International Airport Ltd (DIAL), UTAM uses Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and radar systems to monitor aircraft movements, track vehicles, and improve turnaround times.
Real-Time Tracking and Monitoring
DIAL has set up a centralized control room to oversee airside activities, including aircraft taxiing, baggage handling, and fuel truck movements. The system provides real-time data on aircraft within 10, 40, and 70 miles of the airport, helping authorities track hovering planes and manage landing sequences efficiently.
UTAM also monitors the speed and movement of ground support vehicles, including baggage carts and maintenance trucks, to ensure they follow designated paths. If violations occur, the system issues alerts to prevent disruptions and enhance safety.
Impact on Airport Operations
By integrating AI and ML, UTAM helps predict delays and optimize aircraft turnaround times. It also improves collaborative decision-making among airlines, ground handlers, and security teams. The system tracks runway occupancy, taxiway allocation, and baggage trolley usage, allowing better resource management.
A pilot project with Akasa Airlines has been completed, and DIAL plans to onboard other airlines in the next two to three months.
India’s Busiest Airport Enhancing Efficiency
Handling around 1,300 flight movements daily, IGIA is the busiest airport in India. With UTAM, the airport aims to improve operational efficiency and minimize disruptions, ensuring smoother coordination among stakeholders.
