EC - Horizon 2020 logo

Optimised ATM Network Services - SESAR-ER3-03-2016
Deadline: 22 Mar 2017   CALL EXPIRED

EU logo mono EC - Horizon 2020

 Aerospace Technology
 Aeronautics Industries
 Industrial Engineering

Specific Challenge:

The sharing and management of trajectory information provides consistent information which allows the use of each flight’s agreed trajectory as a unique, common reference for decision-making. In a trajectory-based environment, the starting point for a flight’s agreed trajectory is the Extended Flight Plan (EFPL) that has been accepted by the NM and distributed to all concerned Air Navigation Service Providers (ANSP). The agreed trajectory is the trajectory that the Airspace User (AU) agrees to fly and the ANSP agrees to facilitate, and it is used as the basis of the tactical prediction of traffic demand. However, in Trajectory-Based Operations (TBO) constraints on the flight trajectory are not systematically applied unless it is necessary to do so to fulfil an Air Traffic Management (ATM) function (i.e. separation, arrival sequencing, etc.). For this reason, the agreed trajectory is not a 4D contract that the AU is expected to adhere to within specific tolerances, and when a deviation larger than a pre-defined value is detected the agreement will be automatically updated. Moreover, due to the dynamic nature of the ATM system, the ANSP may be unable to facilitate the trajectory as agreed; in such cases a Collaborative Decision Making (CDM) revision process will be triggered. The uncertainty over how the agreed trajectory will be executed is translated into an uncertainty on the prediction of the volume and complexity of traffic demand that is used as the basis for DCB.

With reference to the SJU Annual Work Programme 2016, this topic covers Section 3.5.4, sub Work area 1.2 topic b).

The exploratory research challenge is to explore how the two types of uncertainties associated with the agreed trajectory (AU-originated uncertainty and ATM-originated uncertainty) affect the quality of the prediction of traffic demand, and how their impact on the quality of the predictions and on the effectiveness of DCB processes may be mitigated.


This is an applications-oriented research topic. Consortia applying for this topic shall formulate a new operational improvement in their proposal, explain the rationale for their expectation that it will provide benefits, and develop how the project would perform an initial validation of their proposed concept. It is expected that the validation techniques include any of the validation techniques that are commonly used for concepts at low Technology Readiness Levels (TRL), including expert groups, and model based validations. Innovative validation approaches may also be proposed.

The research may propose new prediction models and metrics for better understanding current and predicted traffic patterns. For example, projects may develop methods for the continuous and automatic monitoring of post-operations data in order to identify where the quality of the prediction of demand is affected by divergence between the trajectories that were actually flown from the trajectories that were agreed, and possibly identify patterns that allow the anticipation of where new divergences may happen in the future and derive correction factors that will allow an improvement in the quality of the predictions.

Projects may also propose new methods for using trajectory data for evaluating the complexity of a particular flight-list in order to improve the prediction of controller workload, and explore new concepts for Short Term Air Traffic Control Flow Management Measures (STAM) for fine-tuning the agreed trajectories in order to limit complexity or in order to bound specific uncertainties with the objective of improving the quality of the prediction. Projects may also develop innovative TBO processes for modifying already agreed trajectories in order to solve a demand and capacity imbalance, or consider how TBO processes can support innovative dynamic sectorisation concepts.

Expected Impact:

The research will contribute to the improvement of the effectiveness of DCB processes in a trajectory-based environment. This will have a positive impact on the safety and cost-efficiency of the ATM system.

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