INTELLIGENT SUITE FOR LOCAL AND NETWORK DEMAND AND CAPACITY BALANCING

该项目包括旨在及时有效地创造和使用空域容量的工业研究，并结合有针对性的有效需求和/或容量措施。因此，它将专注于先进水平的动态空域配置，利用不同的虚拟化模型，数字INAP应用程序以及网络范围的监控，所有这些都具有高水平的自动化。该项目解决了反映交通需求的按需空中交通服务的R&I需求，以及在中断情况下ATM服务的连续性。该项目利用人工智能和机器学习的最新进展，为ATM利益相关者提供各种支持工具集，以便随时随地快速探索部署按需容量解决方案的选项。其好处包括增加了途中运输能力，提高了提供苯丙胺类兴奋剂的成本效益，而不影响目前的安全水平。

The Project encompasses the industrial research aimed to timely and efficiently create and use airspace capacity, in combination with targeted, effective demand and/or capacity measures. As such, it will focus on advanced levels of dynamic airspace configuration, Leveraging different virtualization models, digital INAP applications as well as Network-wide monitoring, all with high levels of automation. The project addressesthe R&I need for on-demand air traffic servicesreflective of traffic demand, and the continuity of ATM service despite disruption. The project exploits the latest advancements in artificial intelligence and machine learning, to supply a variety of supporting toolsets to ATM stakeholders that enable rapid exploration of options for the deployment of capacity-on-demand solutions, whenever and wherever required. The benefits include increased en-route capacity and improved cost-efficiency of ATS provision, without compromising the current safety levels.