Air Traffic Management Systems
GPTKB entity
Statements (59)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:traffic_control
|
gptkbp:composed_of |
gptkb:traffic_control
Air Traffic Flow Management Airspace Management |
gptkbp:developed_by |
Government agencies
Private companies Aviation organizations |
gptkbp:enhances |
Operational efficiency
|
gptkbp:function |
Manage air traffic
|
https://www.w3.org/2000/01/rdf-schema#label |
Air Traffic Management Systems
|
gptkbp:improves |
Flight safety
|
gptkbp:includes |
Surveillance systems
Conflict resolution procedures Flight planning tools Data processing systems |
gptkbp:integrates_with |
Weather data
|
gptkbp:involves |
gptkb:Pilot
Air traffic controllers Ground staff |
gptkbp:is_associated_with |
Environmental considerations
Safety protocols Emergency procedures |
gptkbp:is_challenged_by |
Weather conditions
Cybersecurity threats Technical failures Increased air traffic |
gptkbp:is_essential_for |
gptkb:military_aircraft
gptkb:Commercial_aviation General aviation |
gptkbp:is_evaluated_by |
Performance metrics
Safety audits Efficiency assessments |
gptkbp:is_influenced_by |
Technological advancements
International regulations Air traffic demand |
gptkbp:is_linked_to |
Passenger experience
Flight cancellations Air traffic incidents |
gptkbp:is_part_of |
gptkb:National_airspace_system
Global air traffic management Aviation infrastructure |
gptkbp:is_regulated_by |
Aviation authorities
|
gptkbp:is_subject_to |
Continuous improvement
Regulatory changes Technological upgrades |
gptkbp:is_supported_by |
gptkb:Artificial_Intelligence
Machine learning Automation technologies |
gptkbp:operates |
gptkb:transport_aircraft
Airports |
gptkbp:provides |
Real-time information
|
gptkbp:reduces |
Flight delays
|
gptkbp:requires |
Training for personnel
|
gptkbp:supports |
Airline operations
|
gptkbp:utilizes |
gptkb:radar_system
Communication systems Navigation systems |
gptkbp:bfsParent |
gptkb:Control_Panel
|
gptkbp:bfsLayer |
4
|