INCREASE OPTIMIZATION WITH DIGITAL TWIN
We use digital twin data to incresease optimization at the airport industry, as airports are complex ecosystems with thousands of moving parts—aircraft, passengers, baggage, security, utilities, and retail operations.
As a result we obtained:
Optimized parking recommendations
Carbon and cost savings reduction
Connected flight coordination
Validation metrics
Provides an advanced dataset designed to enhance airport operational efficiency. It integrates flight schedules and ground service insights to optimize resource allocation, reduce emissions, and streamline coordination.
FLIGHTSCHEDULE+
01
Flight Information
Scheduled departure time, flight number, destination, and terminal gate.
Real-time updates to flight schedules.
02
Ground Operations Data
Number of active ground vehicles near parking areas.
CO₂ emission data calculated for APU/GPU usage.
03
Enhanced Recommendation
Precise parking coordinates and apron positions derived from ADS-B and MLAT data.
Suggested aircraft combinations for shared services.
04
Operational Metrics
Actual parking times for each aircraft to enhance turnaround strategies.
Operational Efficiency
Streamline scheduling and ground services for reduced delays.
Cost Savings
Minimize operational costs by optimizing resource use.
Sustainability
Lower environmental impact with CO₂ emission tracking and reduction.