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CM-0200-C — Flight-centric ATC in Non-Geographically-Constrained High and very High Complexity environment

In High and very High complexity environments, depending on local organization and working methods, a flight-centric method of ATC could be applied. In performance-driven ATM operations, different service providers will decide of application of this method in different environments, according to their operational needs and business model.
In Step 3, full application of Free Routing, Dynamic Airspace Management and high level of sophistication and integration of the ground support tools are required. Under these conditions, distribution of workload among the ATCOs in a designated airspace (e.g. Sector Family as defined in 4.2 S2 DOD), and even at the Network level, becomes less dependent on geographical and structured airspace kind of constraints On the other hand, performance-oriented ATM implies the need for optimum use of the ATCO workforce at any time. This could be achieved via application of this method and distribution of trajectories/ flights to individual controllers with permanent system effort to maintain their workload at optimum level, in high as well as in very high complexity environments.

Rationale
This method provides for performance-based ATM operations enabling optimal deployment of the airspace and human resources at the level of Sector Families .
Forecast V3 end date
-
Benefits start date (IOC)
-
Full benefits date (FOC)
-
Current Maturity Level
V1
Solution Data Quality Index
-
Current Maturity Phase
R&D
Scope
-
Release
-
PCP Status
-

Enablers

Code Dates
 
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CM-0200-C
ER APP ATC 174
HUM-017
A/C-31a
V4
V5
IOC - FOC
A/C-37a
V4
V5
IOC - FOC
AAMS-19
CTE-C01b
V4
V5
IOC - FOC
NIMS-36

Dependent OI Steps

Relationship Code Title Related Elements
Has predecessor CM-0200-B Flight-centric ATC in Non-Geographically-Constrained, Low and Medium complexity environments

SESAR Solutions

PCP Elements: No associated data

Implementation Objectives: No associated data

ICAO Block Modules: No associated data