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Dynamic Separation Standards for Multi-Category UAV Operations
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DOI：10.3390/aerospace12121064.png)
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摘要
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By 2030, projected UAV operations may exceed one million concurrent flights in urban airspace, yet traditional fixed-distance separation methods fail to accommodate heterogeneous platforms. This paper introduces a three-tier hierarchical dynamic separation framework adapting minima across strategic (30-80 m category-specific baselines), pre-tactical (0.7-1.8x encounter-dependent scaling), and tactical (real-time 3D decomposition) timescales. Monte Carlo simulation across 100,000+ flight hours demonstrates 47% collision rate reduction versus fixed 30 m separation (0.008 vs. 0.015 per 1000 h, p < 0.001), 50% airspace utilization increase (18.4 vs. 12.3 UAVs/km(3)), 44% flight time penalty decrease (8.5% vs. 15.2%), and 99.97% ICAO-compliant TLS achievement (<= 10(-7) per flight hour) with real-time performance (78.5 ms for 20 UAVs). The framework provides an immediately deployable foundation for heterogeneous UAV traffic management.
Keyword:
UAV separation
collision avoidance
traffic management
risk assessment
airspace safety
dynamic standards
multi-category operations
期刊
IF:
2.2
论文数:
864
被引数:
7.3K
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