In the UAM space, strategic deconfliction provides an all-essential layer to airspace automation by providing safe, preemptive deconfliction or assignment of airspace resources to airspace users pre-flight. Strategic deconfliction approaches provide an elegant solution to pre-flight deconfliction operations. This overall creates safer and more efficient airspace and reduces the workload on controllers. In this research, we propose a method that constructs routes between start and end nodes in airspace, assigns a contract of operational volumes (OVs) and ensures that these OVs are sufficiently deconflicted against static no-fly zones and OVs of other airspace users. Our approach uses the A* optimal cost path algorithm to generate the shortest routes between the origin and destination. We present a method for generating OVs based on the distribution of aircraft positions from simulated flights; volumes are constructed such that this distribution is conservatively described.

翻译：在城市空中交通（UAM）领域，战略解耦通过为空中交通用户提供飞行前安全、预防性的解耦或空域资源分配，构成了空中交通自动化的关键基础层。战略解耦方法为飞行前解耦操作提供了优雅的解决方案，从而整体上提升空域的安全性与效率，并降低管制员的工作负荷。本研究提出一种方法，该方法在空域中构建起止节点间的航线，分配运行空域（OV）合约，并确保这些运行空域与静态禁飞区及其他空中交通用户的运行空域实现充分解耦。本方法采用A*最优代价路径算法生成起止点间的最短航线。我们提出一种基于模拟飞行航空器位置分布生成运行空域的方法：所构建的空域使得该分布得到保守描述。