eATM Portal

CM-0103-A — Automated Support for Traffic Complexity Assessment

Automated tools continuously monitor sector demand and evaluate traffic complexity (by applying predefined complexity metrics) according to a predetermined qualitative scale. Forecast complexity coupled with demand enables ATFCM to take timely action to adjust capacity, or demand profiles through various means, in collaboration with ATC and airspace users.

Rationale
Complexity prediction for: Local Network Management. Analysing aircraft trajectories using SBT/RBT and other demand information, coupled with the use of validated complexity metrics, allows prediction of changes in traffic complexity and potential overload situations, allowing mitigation strategies to be applied. Such ability will support decision making processes such as:
- Determine the optimum organization of ATC sectors (including adjustment of sector AOR);
- Apply dynamic ATM constrains ( on traffic flows (e.g. Level Cap)
- Modify individual trajectories by route, level or timing
- Local Traffic Management based on Complexity assessment is seen as a tool supported process to simplify/optimize the ATM situation through application of STAM so that separation provision can be efficiently applied by human intervention in a productive manner.
Forecast V3 end date
Benefits start date (IOC)
31-12-2020
Full benefits date (FOC)
01-10-2025
Current Maturity Level
V3
Solution Data Quality Index
Current Maturity Phase
R&D
Scope
Local
Release
R5
PCP Status
PCP

Enablers

Code Dates
 
2015 15
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CM-0103-A
 
ER APP ATC 93
IOC - FOC
NIMS-37
V4
V5
IOC - FOC
PRO-220a
IOC - FOC
PRO-220b
V5
IOC - FOC
SWIM-APS-03a
V4
V5
IOC - FOC
SWIM-APS-04a
V4
V5
IOC - FOC
SWIM-INFR-05a
V4
V5
IOC - FOC
SWIM-NET-01a
V4
V5
IOC - FOC
A/C-37a
V4
V5
IOC - FOC
ER APP ATC 82
V4
V5
IOC - FOC
ER APP ATC 100
V4
V5
IOC - FOC
ER APP ATC 149a
V4
V5
IOC - FOC
ER APP ATC 162
V4
V5
IOC - FOC
SWIM-SUPT-01a
SWIM-SUPT-03a
IOC - FOC
SWIM-SUPT-05a
V4
V5
IOC - FOC

SESAR Solutions

PCP Elements

Implementation Objectives: No associated data