Multi-objective optimization model for dynamic airspace allocation of urban drones in medical emergency delivery

This simulation-based framework provides a foundation for future emergency response system improvements, with pilot trials and hardware-in-the-loop testing representing essential next steps for practical deployment. The findings have considerable policy implications for urban air mobility planning and resource allocation.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-02-12
DOI
https://doi.org/10.3389/fpubh.2025.1727647
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-objective optimization model for dynamic airspace allocation of urban drones in medical emergency delivery

Tongdi Hou, Yao Zhu, Xin Sun
Frontiers in Public Health
UAV Applications and Optimization
article

Multi-objective optimization model for dynamic airspace allocation of urban drones in medical emergency delivery

Tongdi Hou, Yao Zhu, Xin Sun
article en

Abstract

This simulation-based framework provides a foundation for future emergency response system improvements, with pilot trials and hardware-in-the-loop testing representing essential next steps for practical deployment. The findings have considerable policy implications for urban air mobility planning and resource allocation.

Frontiers in Public HealthVol. 13
Ya'an Polytechnic College (CN)
Sustainable cities and communities
Openalex Percentile: Top 59%
UAV Applications and Optimization
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Multi-objective optimization model for dynamic airspace allocation of urban drones in medical emergency delivery — Tongdi Hou, Yao Zhu, et al. · Frontiers in Public Health (2026) | TGRS Research Map | TGRS