Low-Altitude Unmanned Aerial Vehicle Scheduling and Planning Methods in Disaster Scenarios: A Review

Low-altitude UAV scheduling and planning has become a critical technological pillar in disaster response systems; however, systemic challenges in complex environments and under uncertain risk conditions remain insufficiently understood. Although substantial progress has been achieved in model formulation and algorithm design in recent years, scheduling and planning frameworks still lack a systematic representation of key risk factors, such as meteorological disturbances, terrain damage, and communication constraints, thereby undermining operational safety and decision reliability. This study conducts a systematic review of low-altitude UAV scheduling and planning research over the past decade, covering representative disaster scenarios including forest fires, large building fires, earthquakes, floods, major public health emergencies, and traffic accidents. By comparatively analyzing scheduling objectives and technical pathways across the pre-disaster, during-disaster, and post-disaster stages, this paper summarizes the dominant research paradigms and limitations of multi-UAV coordination, air–ground coordination, and risk reduction-oriented scheduling and planning. This review reveals that existing approaches generally lack explicit modeling of dynamic risks and uncertainties, highlighting an urgent need to incorporate risk-aware considerations and reliability analysis frameworks into scheduling and planning to enhance the overall robustness and decision credibility of UAV systems in disaster environments.

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Publication Details

Journal
Drones
Published
2026-05-11
DOI
https://doi.org/10.3390/drones10050368
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Low-Altitude Unmanned Aerial Vehicle Scheduling and Planning Methods in Disaster Scenarios: A Review

Zizheng Gan, Kaixuan Zhai, Xinxin Guo, Kailong Li et al.
Drones
UAV Applications and Optimization
article

Low-Altitude Unmanned Aerial Vehicle Scheduling and Planning Methods in Disaster Scenarios: A Review

Zizheng Gan, Kaixuan Zhai, Xinxin Guo, Kailong Li, Zhonghe He, Shuang Li, Min Li, Ruosi Xu, Xiyao Su, Li Wang
article en

Abstract

Low-altitude UAV scheduling and planning has become a critical technological pillar in disaster response systems; however, systemic challenges in complex environments and under uncertain risk conditions remain insufficiently understood. Although substantial progress has been achieved in model formulation and algorithm design in recent years, scheduling and planning frameworks still lack a systematic representation of key risk factors, such as meteorological disturbances, terrain damage, and communication constraints, thereby undermining operational safety and decision reliability. This study conducts a systematic review of low-altitude UAV scheduling and planning research over the past decade, covering representative disaster scenarios including forest fires, large building fires, earthquakes, floods, major public health emergencies, and traffic accidents. By comparatively analyzing scheduling objectives and technical pathways across the pre-disaster, during-disaster, and post-disaster stages, this paper summarizes the dominant research paradigms and limitations of multi-UAV coordination, air–ground coordination, and risk reduction-oriented scheduling and planning. This review reveals that existing approaches generally lack explicit modeling of dynamic risks and uncertainties, highlighting an urgent need to incorporate risk-aware considerations and reliability analysis frameworks into scheduling and planning to enhance the overall robustness and decision credibility of UAV systems in disaster environments.

DronesVol. 10(5)
North China University of Technology (CN)
Climate action
Openalex Percentile: Top 2%
UAV Applications and Optimization
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