Delhi International Airport has introduced the Unified Total Airside Management (UTAM) system, an AI-powered solution aimed at improving efficiency and safety at the airport, in collaboration with WAISL.
A centralized control room has been established to oversee operations in real-time, improving coordination and transparency. UTAM tracks all airside vehicles, including luggage carts, fuel trucks, and maintenance vehicles, ensuring better resource management. Key features include geofenced.
GSE tracking, aircraft movement visibility, flight hovering monitoring, and accurate time recording for non-Visual Docking Guidance System parking stands.
Delhi International Airport Ltd. (DIAL), the operator of Indira Gandhi International Airport (IGIA), has announced the implementation of advanced artificial intelligence (AI) and predictive analytics solutions to enhance airport operations and passenger experience. This initiative comes in response to rising passenger traffic, with the airport handling approximately 1,300 to 1,500 flights daily and anticipating over 70 million passengers in the current fiscal year ending March 2024.
Adoption of the Airport Predictive Operation Centre (APOC)
To streamline operations, DIAL is upgrading to the Airport Predictive Operation Centre (APOC) system, a technology already in use at several European airports. APOC leverages AI-based predictive analytics to forecast passenger footfall during specific time frames. This data-driven approach enables efficient allocation of resources across entry gates, check-in counters, and security checkpoints, thereby minimizing wait times and enhancing overall operational efficiency.
Integration of Camera-Based Solutions
In addition to APOC, DIAL has implemented camera-based solutions to monitor and manage passenger flow. At Terminal 3 (T3), a system developed by Swiss manufacturer Xovis counts individuals in various queues and utilizes AI to predict waiting times accurately. This technology has proven effective in managing congestion and is slated for deployment at Terminal 1 (T1) upon completion of its expansion.
Expansion and Future Plans
The expansion of T1 is expected to be completed by the end of February next year, increasing its passenger handling capacity from 17 million to 40 million. This expansion will contribute to an overall domestic capacity of 40 million at T1 and 25 million at T3. DIAL also plans to revisit its 2016 master plan to accommodate the evolving needs of the growing aviation landscape.
Benefits of AI Integration
The integration of AI and predictive analytics is anticipated to yield several benefits, including:
- Proactive Resource Management: By predicting passenger volumes, airport authorities can allocate staff and resources more effectively, reducing bottlenecks and improving passenger flow.
- Enhanced Operational Efficiency: Real-time data allows for swift responses to operational challenges, minimizing disruptions and ensuring seamless operations.
- Improved Passenger Experience: Reduced wait times and smoother processes contribute to higher levels of passenger satisfaction.
These advancements align with DIAL’s commitment to leveraging digital solutions, including IoT and AI, to create a more efficient and passenger-friendly airport environment.
In conclusion, Delhi Airport’s adoption of AI-powered predictive analytics and camera-based solutions marks a significant step toward modernizing airport operations. These technologies not only address current challenges associated with increasing passenger traffic but also position the airport to handle future growth effectively, ensuring a seamless and efficient travel experience for all passengers.
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