风速
布线(电子设计自动化)
起飞
风力发电
环境科学
水准点(测量)
无人机
计算机科学
能源消耗
气象学
全球风模式
风向
实时计算
高度(三角形)
选择(遗传算法)
能量(信号处理)
全球定位系统
海洋工程
旅行时间
分离(统计)
弹道
能源预算
空中交通管制
航测
作者
Rawda Ahmed,Khaled F. Abdelghany,Ernest Huffman
标识
DOI:10.1177/03611981261467338
摘要
This paper develops a wind-aware routing framework for low-altitude small unmanned aerial vehicles (UAVs) operating under FAA Part 107 with maximum takeoff weight under 55 lb and altitudes at or below 400 ft above ground level, and evaluates how spatiotemporal wind influences travel time and energy consumption. The framework integrates wind-vector projections into a four-dimensional time-expanded network and applies a time-dependent Pareto-label-correcting algorithm to generate non-dominated routes between drone ports (i.e., hubs/staging nodes). Controlled experiments vary wind heading, vertical shear, and spatial heterogeneity in a representative urban corridor to isolate the role of wind structure. Results show that tailwinds simultaneously reduce travel time and energy, headwinds increase both, and time-varying winds shift the relative efficiency of early versus late departures. The findings highlight that ignoring wind can substantially increase energy consumption or lead to delay penalties. The framework provides UAV operators with actionable guidance on departure timing and altitude selection and establishes a reproducible benchmark for assessing air mobility corridor performance under realistic wind conditions.
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