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Third-Party Risk of Mid-Air Collision Between Small Unmanned Aircraft Systems

机译:小型无人机系统之间空中碰撞的第三方风险

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Small unmanned aircraft systems (so-called drones) are widely used in various applications and drone traffic will increase as the field of drone operations becomes varied. Increased traffic will involve more conflicts between drones, and mid-air collisions can occur even when conflicts are mitigated by detect and avoid (DAA). This paper proposes a methodology for assessment of third-party risk due to mid-air collisions between drones. Third-party risk is calculated using the probability of failure, population density, shelter effect, etc. As a worst-case scenario, the proposed model is applied for the analysis of third-party risk in a central business district in a metropolitan city. The results show that third-party risk is not acceptable for the given traffic situation. So, several methods are discussed to improve third-party risk. In conclusion, third-party risk can be improved to satisfy the target level of safety using an appropriate location of intersection, a parachute, or a high standard for DAA. The results from this paper can be used as references for certificates of operation or mitigation devices for drones.
机译:小型无人飞机系统(所谓的无人机)广泛用于各种应用中,并且随着无人机操作领域的变化,无人机的流量将会增加。流量的增加将导致无人机之间发生更多的冲突,并且即使通过“检测与避免”(DAA)缓解了冲突,也会发生空中冲突。本文提出了一种评估无人机之间空中碰撞造成的第三方风险的方法。使用失败的概率,人口密度,住房影响等来计算第三方风险。在最坏的情况下,建议的模型用于分析大城市中心商务区中的第三方风险。结果表明,在给定的交通状况下,第三方风险是不可接受的。因此,讨论了几种提高第三方风险的方法。总之,可以使用适当的交叉路口,降落伞或高标准的DAA来提高第三方风险,以满足目标安全级别。本文的结果可以用作无人机操作证书或缓解设备的参考。

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