论文标题
考虑时空人口动态的城市空间中无人空中系统运营的风险分析
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics
论文作者
论文摘要
这项研究旨在估计使用人口高分辨率的人口数据，从人群的角度估算无人空中系统（UAS）行动的死亡风险。在此过程中，与从住宅人群数据中得出的风险价值相比，它提供了更实际的风险价值。然后，我们使用风险值和可接受的安全水平来设置限制空域。我们将限制空域视为空间被动态障碍所阻挡。韩国首尔研究区域的方案分析为限制空域的时间依赖性差异提供了更丰富的结果。尤其是在白天，受限制的空域聚集在商业和业务领域。还观察到基于居民人口衍生的风险和基于事实上人口衍生的风险限制空域的空域之间的差异。研究结果证实了在评估和减轻UAS操作风险时准确考虑人口密度的重要性。敏感性分析还揭示了估计风险时人口密度准确估计的重要性。
This study aims to estimate the fatality risk of Unmanned Aerial System (UAS) operations from a population perspective using high-resolution de facto population data. In doing so, it provides more practical risk values compared to the risk values derived from the residential population data. We then set restricted airspace using the risk values and the acceptable level of safety. We regard the restricted airspace as airspace being blocked by a dynamic obstacle. Scenario analysis on the study area in Seoul, South Korea presents a richer set of results for time-dependent differences in restricted airspace. Especially during the daytime, the restricted airspace is clustered around commercial and business areas. The difference between restricting airspace based on residential population-derived risk and restricting airspace based on de facto population-derived risk is also observed. The findings confirm the importance of accurately taking into account population density when assessing and mitigating the risk of UAS operations. Sensitivity analysis also reveals the importance of an accurate estimate of population density when estimating the risk.
