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：在城市空中交通领域，策略性冲突解脱通过为空中交通自动化提供关键保障层，实现飞行前对空域资源的主动式冲突规避或分配。策略性冲突解脱方法为飞行前冲突管理提供了优化的解决方案，这不仅能提升空域的安全性与运行效率，还能有效降低管制员工作负荷。本研究提出一种方法，可在空域中构建起止节点间的航路，为飞行器分配运行体（OV）契约，并确保这些运行体与静态禁飞区及其他飞行器运行体之间实现充分冲突解脱。该方法采用A*最优代价路径算法生成起终点间的最短航路。我们提出基于模拟飞行中航空器位置分布规律的运行体生成方法——通过保守描述该分布特征来构建运行体。