Smart sectors

动态空域配置是当前和未来欧洲空中交通系统的核心。增加空域容量是解决近期面临的巨大容量挑战和应对（预期的）空中交通显著增长的关键因素，同时保持安全、提高飞行效率和减少对环境的影响。与策略目标一致，智能系统的主要目标是在适当的时间，以最高的效率提供适当的容量，以更好地服务航空交通需求。其目的是使空域设计和配置过程更加高效，充分利用空域潜力。扇区和扇区配置应确保空中交通管制员能够轻松处理相关的工作量。为了实现这一目标，SMARTS建议基于智能部门设计部门和部门配置。智能是指能够意识到环境（流量和复杂性预测，容量估计，对其他部门的影响），能够采取行动并适应改善环境（创建在工作量/复杂性方面产生预期结果的部门设计），并能够与相关参与者（本地和网络节点）进行沟通。智能部门是由基本体量的设计产生的，预计它将为工作量的最佳分配提供基础，围绕特定的安全和操作要求（包括复杂性）进行定制。作为副产品，应用成本效益高的产能行动可以在INAP的早期阶段进行更准确的DCB规划，从而减少所需需求措施的数量。

Dynamic Airspace Configurationsis at the core of the current and future European air traffic system. Enabling additional airspace capacity is a key factor to address the significant capacity challenges already faced in the recent past and to cope with the (expected) significant growth in air traffic, while maintaining safety, improving flight efficiency and reducing environmental impact. In line with the strategic goal, the main objective of SMARTS is delivering the right amount of capacity, at the right moment and with the maximum efficiency to better serve the air traffic demand. The aim is to make the airspace design and configuration process more efficient, taking full advantage of the airspace potential. Sectors and sector configurations should ensure that Air Traffic Controllers can handle the associated workload comfortably. To achieve this objective, SMARTS proposes to design sectors and sector configurations based on smart sectors. Smart in the sense that are aware of the environment (traffic and complexity prediction, capacity estimation, impact on other sectors), can act and adapt to improve the environment (create a sector design that produces a desired outcome in terms of workload/complexity), and can communicate with relevant actors (both local and network nodes). The smart sector is engendered by the design of basic volumes, and it is expected to provide the basis for an optimal distribution of workload, tailored around specific safety and operational requirements including complexity. As a by-product, the application of cost-efficient capacity actions allows a more accurate DCB planning in the early INAP phases thus reducing the number of required demand measures.