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城市无人机在医疗紧急交付中的动态空域分配的多目标优化模型

Yao Zhu¹, Xin Sun¹, Tongdi Hou¹

¹Business School, Yancheng Polytechnic College, Yancheng, China.

Frontiers in public health

|March 2, 2026

概括

无人驾驶飞行器 (UAV) 通过减少61%的响应时间和85%的成本,显著改善了城市紧急情况的交付. 这种动态的空域分配系统在关键情况下提高了效率和安全.

科学领域:

* 航空航天工程航空航天工程
* 运营研究运营研究
* * 城市规划城市规划

背景情况:

* 传统的地面紧急医疗服务面临着交通拥堵和有限的可访问性等挑战.
* 城市紧急交付系统需要创新的解决方案,以更快,更有效地响应.

研究的目的:

* 在城市紧急情况下开发无人机动态空域分配的多目标优化方法.
*同时优化交付时间,成本,空域效率和安全风险.

主要方法:

* 开发了一种改进的非主导排序基因算法III (NSGA-III),用于应急条件的实时适应性和冲突解决.
* 蒙特卡洛模拟使用中国杭州的真实城市紧急情况 (150平方公里面积,35家医院) 进行.
* 在各种无人机舰队配置中进行了评估.

主要成果:

*观察到显著的性能改善:响应时间减少了61% (从18.5分钟到7.2分钟),交付成本减少了85% (从280美元到42.3美元).
*动态重新分配机制在不利条件下 (大规模事件,天气,故障) 实现了85-96%的性能,并快速适应 (1.8 ± 0.3 秒).
* 无人机机队规模被确定为影响性能的主要因素.

结论:

*基于模拟的框架为通过无人机集成增强应急响应系统提供了坚实的基础.
*试点试验和硬件循环测试是实际部署的关键下一步.
* 调查结果对城市空中流动性规划和资源分配产生重大政策影响.

关键词:

无人机紧急交付无人机紧急交付动态的空域分配.紧急医疗服务紧急医疗服务多目标优化多目标优化城市空气流动性

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