#	Pagina
attuale pagina	/open-h2020/projects/206245/results.html

Report

Teaser, summary, work performed and final results

Periodic Reporting for period 2 - PJ09 DCB (Advanced DCB)

Teaser

Summary

The SESAR 2020 Advanced Demand-Capacity Balancing (DCB) project will create a powerful distributed network management function. To do so, it will rely, among other things, on SESAR layered collaborative planning, trajectory management principles and System Wide Information Management (SWIM) technology.

SESAR 1 improved the predictability and reliability of planning data, thereby reducing the Air Traffic Management (ATM) capacity held in reserve for exceptional demand-capacity imbalance scenarios. Short-term air traffic flow and capacity management (ATFCM) processes have further improved the flexibility of the Network Manager (NM) to tactically manage imbalances in the network. This resulted in a reduction in the application of â€˜broad brushâ€™ constraints and regulations. NM has developed the first step of a Collaborative Network Operations Plan (NOP) with initial integration of ATM stakeholder processes and airport operations plans (AOPs). The collaborative NOP is now a powerful tool to assist medium/short term demand capacity balancing (DCB) planning processes.
Notwithstanding that:

- The organisation of resources across area control centres (ACCs) and the scoping of measures, from local level to full network impact assessment, need to be improved, as well as the promotion of opportunity measures over those with cost implications for airspace users;
- The operational data shared in the NOP are still limited (in scope and time horizon), incomplete and insufficient for tactical and operational use;
- Building upon SESAR 1, the dynamic sharing of operational data needs to be expanded to enable tailored real-time network performance assessment and to facilitate collaborative DCB processes. Further development of automated tools, monitoring relevant indicators to assess DCB measures and monitor execution against plans will allow seamless DCB management processes involving airspace users, alongside airport and en-route nodes. This will permit a proactive identification of constrained points in the network and the application of collaborative procedures to address the situation with the least number of trajectory changes as possible.

The major objective of the PJ.09 Advanced DCB concept is to evolve the existing DCB process to a powerful distributed network management function which takes full advantage from the SESAR Layered Collaborative Planning, Trajectory Management principles and SWIM Technology to improve the effectiveness of ATM resource planning and the network performance of the ATM system in Europe.

This project is expected to have a positive impact on:

Capacity, which will be increased as a result of improved accuracy of estimated times of sector entry and the use of complexity assessment of ATCO workload for the prediction of demand and sector capacities. In addition, capacity will be improved as a result of improved predictability (AOP/NOP, network supervision) and ATM resource planning, the identification of capacity opportunities and the reconciliation of multiple constraints;
Efficiency will be improved by the integration of INAP, facilitated by the integrated network working position (iNWP), which enables DCB-ATC messaging, DCB what-if, to support CDM, the synchronisation process as well as the interactivities between local actors, AUs and NM activities. Efficiency will largely be increased by the availability of shared real-time operational data and a rolling picture of the network situation used by stakeholders to prepare their plans and their inputs to the network CDM processes;
Cost efficiency will be increased as a consequence of more accurate demand and workload predictions and the support of the ATM resource planning and DCB decision-making by performance parameters and trade-off techniques guiding the decision-maker towards cost-effective resource planning and DCB resolution;
Safety & Security can be improved as a result of accurate complexity and ATCO workload predictio

Work performed

All management processes are fully established and operating successfully in accordance with principles outlined in the PJ09 PMP. All WP1 deliverables and milestones have been delivered resp. achieved as planed.

The Solution 1 progressed in 2017 according to the delivery plan agreed in the preparation of the PMP. The key tasks, such the Initial OSED, first iteration of the VALP and Initial TS have been prepared, reviewed and delivered on-time. There was a minor delay (without impact on the quality) in contribution of the Airspace users, caused by the late start of the support contract. The validation exercises and their supporting activities (EXE-09.01-01 Traffic Prediction, EXE-09.01-03 Complexity Assessment & EXE-09.01-04 Performance KPIs) were progressing well for all three concept elements: demand prediction, complexity assessment and network performance management. In September 2017, the Solution 1 team has also kicked-off the preparation for one of the two main human-in-the-loop (HIL) exercises, EXE-09.01-02. The prototyping and NM system developments are all under control.

Solution 02 has been successfully kicked-of and is progressing according to plan. The Solution has no significant delays, although there have been some small delays in the performance of EXE-09.02-01 INAP Knowledge Management & EXE-09.02-02 Initial INAP DCB-ATC link, which have no impact on the performance of EXE-09.02-03 Initial INAP DCB-ASM Integration. All the exercise validation platforms developments are already ongoing and on time, including key interoperability tests with the NM validation platforms (NMVP and INNOVE).

Solution 03 has been successfully kicked-of and is progressing according to plan with a first successful iteration of validation exercise (09.03-02 Collaborative NOP - iteration 1.a) and a successful workshop for EXE 09.03-01 Collaborative DCB Framework. All deliverables have been produced and provided (initial version) to SJU as per plan (OSED, VALP and TS).