Tradeoffs between Efficiency and Fairness in Unmanned Aircraft Systems Traffic Management
Tradeoffs between Efficiency and Fairness in Unmanned Aircraft Systems Traffic Management
复制标题
无人机系统交通管理效率与公平之间的权衡
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
H. Balakrishnan
中科院分区：
文献类型：
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作者：
Christopher R. Chin;Karthik;Gopalakrishnan;H. Balakrishnan
- 无人机和其他无人机系统（UAS）的使用越来越多，预计将使空域资源更加拥挤，需要使用UAS交通管理（UTM）计划来确保安全和高效的运营。UTM的核心功能是防止空中间隔的损失，并减轻出发点或到达点的拥堵。这些功能可以通过将空中延迟（速度变化或路径延伸）或地面延迟（延迟起飞时间）分配给飞机来修改时间表来实现。我们的工作评估的公平性方面的延迟分配，同时试图实现更有效的UTM。动态和高交通需求、UAS运营商偏好的可变性以及车辆能力的差异可能会对修订后的时间表的公平性产生不利影响。我们通过计算实验表明，对于某些公平性指标，显着改善的公平性，可以达到非常小的系统效率下降。我们还量化了动态需求下的效率和公平之间的权衡，当轨迹被纳入滚动时域框架。
— The growing use of drones and other Unmanned Aircraft Systems (UAS) is expected to make airspace resources more congested, necessitating the use of UAS Traffic Management (UTM) initiatives to ensure safe and efficient operations. The core functions of UTM are to prevent the loss of airborne separation and to mitigate congestion at departure or arrival points. These functions can be achieved through revising the schedule by assigning airborne delays (speed changes or path stretches) or ground delays (delayed takeoff times) to aircraft. Our work evaluates the fairness aspects of delay assignment while attempting to achieve more efficient UTM. Dynamic and high traffic demand, variability in UAS operators’ preferences, and differences in vehicle capabilities can adversely impact the fairness of the revised schedule. We show through computational experiments that, for certain fairness metrics, significant improvements in fairness can be attained with very little decrease in system efficiency. We also quantify the tradeoff between efficiency and fairness under dynamic demand, when trajectories are incorporated in a rolling horizon framework.