Dataset: Investigating the Requirements for Hybrid U-space/UTM Conflict Detection and Resolution

The following dataset contains two elements: the specific version of the BlueSky Open Air Traffic Simulator that was used for the experiment, including plugins developed for the experiments, and the results and processing code for the produced data. The research objective was to determine the compatibility of current strategic and tactical CD&R methods when used concurrently within a hybrid U-space system. Two commonly used methods (strategic time optimisation deconfliction and state-based tactical deconfliction) were tested in various air traffic scenarios and simulated using the BlueSky simulator.

本数据集包含两类核心内容：其一为本次实验所采用的特定版本BlueSky开源空中交通模拟器（BlueSky Open Air Traffic Simulator），其中搭载了为本实验开发的定制插件；其二为实验生成数据的处理代码与最终结果。本研究旨在探究当前战略级与战术级冲突检测与解决（Conflict Detection & Resolution，以下简称CD&R）方法在混合U-space系统中并发应用的兼容性。研究团队针对两种主流方法——战略时间优化型冲突解脱与基于状态的战术级冲突解脱——在多种典型空中交通场景下开展了测试，并借助BlueSky模拟器完成了仿真实验。