华南理工大学学报（自然科学版）2026，Vol.54Issue(8)：84-95,12.DOI:10.12141/j.issn.1000-565X.250254
危化品运输事故辅助救援无人机起降点选址研究
Research on Location Selection of Takeoff and Landing Points for Auxiliary Rescue UAV in Hazardous Materials Transportation Accidents
摘要
Abstract
Planning and deploying unmanned aerial vehicle(UAV)takeoff and landing sites in areas with concentrated hazardous material transportation routes,combined with UAV-assisted joint emergency rescue operations alongside ground-based emergency rescue stations,can significantly enhance the emergency response capabilities for such accidents.This paper investigates the location and allocation problem of UAV landing sites for auxiliary rescue in hazmat transportation accidents.First,a location-allocation model for UAV landing sites under deterministic scenarios was constructed.Second,considering the uncertainty of potential risks along road network segments,distributionally robust optimization(DRO)theory was introduced,and a robust location-allocation optimization model for UAV landing sites was established.Third,an easily solvable approximation method was adopted.Under the constraint of a zero-mean bounded perturbation ambiguity set,the original distributionally robust optimization model was equivalently transformed into an integer programming model,which was then solved using a branch-and-cut algorithm based on Benders decomposition.Finally,numerical examples were conducted to verify the effectiveness of the proposed models and solution algorithm.The results indicate that although the output of the distributionally robust optimization model tends to be relatively conservative,it exhibits stronger robustness and can effectively enhance the overall reliability of the emergency rescue system.The coverage effectiveness of UAV landing sites increases with the number of planned takeoff and landing points,generally following a pattern of diminishing marginal returns.Under conditions where probability distribution information of uncertain parameters is incomplete,the distributionally robust optimization approach outperforms traditional stochastic programming methods.Compared with conventional robust optimization,distributionally robust optimization can incorporate prior information on partial probability distributions,thereby effectively avoiding the issue of overly conservative location-allocation solutions.关键词
危化品运输事故/无人机起降点/选址-分配/风险不确定/分布鲁棒优化Key words
hazardous materials transportation accident/takeoff and landing point of UAV/location and allocation/risk uncertainty/distributionally robust optimization分类
交通工程引用本文复制引用
王伟,张彤,葛颂,崔迪..危化品运输事故辅助救援无人机起降点选址研究[J].华南理工大学学报（自然科学版）,2026,54(8):84-95,12.基金项目
山东省社会科学规划研究项目(22CGLJ42) Supported by the Social Science Planning Research Project of Shandong Province(22CGLJ42) （22CGLJ42）
