Based on real-time flight schedules, surface surveillance radar, and GIS-based airport topology, the system dynamically generates optimal taxi paths. It balances time, distance, fuel efficiency, and safety, while intelligently avoiding inaccessible zones such as active construction areas or temporary obstacles—ensuring higher on-time performance.
Considers aircraft type, stand attributes, and ground resource availability to automatically generate conflict-free towing paths, reducing ground holding times.
For delayed flights, the system re-plans paths in real time to minimize disruptions, shortening taxi distances and avoiding potential conflicts.
Using predictive insights into upcoming aircraft paths, the system plans optimal routes for fuel trucks, shuttle buses, and other support vehicles, avoiding intersection with taxiways and improving turnaround efficiency.
Interacts with third-party platforms like stand assignment systems (RM) to resolve conflicts and optimize global scheduling across resources and systems.
Through GIS-based maps integrated with radar and vehicle positioning data, the system displays aircraft taxi routes, vehicle positions, and restricted zones in real time—enabling panoramic surveillance and fast decision-making from the tower.
Continuously monitors for risks such as taxi deviation, overspeeding, and close proximity to other objects. Multi-level alerts (audio, visual, mobile notifications) ensure rapid, controlled responses within seconds.
Automatically verifies stand occupancy, confirms pushback status, and coordinates temporary stand requirements with RM systems. Manages inspections and maintenance requests, generating standardized digital logs.
In the event of aircraft malfunctions or unexpected construction, the system generates alternate routes within seconds and synchronizes them across relevant systems to maintain operational continuity.
Flight crews and ground staff can receive real-time navigation and safety alerts directly via mobile devices, ensuring consistent communication and situational awareness.
By optimizing decision-making, A-CDM helps minimize delays, reduce operational costs, and improve capacity management.
Enhanced coordination reduces the risk of errors and improves safety during high-traffic periods
Lower operating costs by minimizing delays and improving resource utilization.
Lower operating costs by minimizing delays and improving resource utilization.
