INTELLIGENT SUITE FOR LOCAL AND NETWORK DEMAND AND CAPACITY BALANCING

该项目包括工业研究，旨在及时和有效地创造和使用空域容量，并结合有针对性的有效需求和/或容量措施。因此，它将侧重于高级动态空域配置，利用不同的虚拟化模型、数字INAP应用程序以及全网监测，所有这些都具有高度的自动化。该项目解决了R&I对按需空中交通服务的需求，反映了交通需求，并解决了ATM服务在中断情况下的连续性问题。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，使其能够随时随地根据需要快速探索按需容量解决方案的部署选项。其好处包括增加了途中的运力和提高了ATS供应的成本效益，而不会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.