In the UAM space, strategic deconfliction provides an all-essential layer to airspace automation by providing safe, pre-emptive 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，战略冲突化解通过为空中交通自动化提供关键支撑——即在飞行前为空中交通用户提供安全、预防性的冲突化解或空域资源分配——从而保障空域安全。战略冲突化解方法为飞行前冲突化解操作提供了优雅的解决方案，这整体上构建了更安全、更高效的空域环境，并减轻了管制员的工作负担。在本研究中，我们提出一种方法：在空域中构建起始节点与终止节点之间的航线，分配运行体（OV）合约，并确保这些运行体与静态禁飞区及其他空中交通用户的运行体充分化解冲突。本方法采用A*最优代价路径算法生成起点与终点间的最短航线。我们提出了一种基于模拟飞行中航空器位置分布来生成运行体的方法：所构建的运行体能够保守地描述该分布。