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与传统车辆的物流配送相比，无人机运输具有机动性强、高时效、灵活等优点，可以被广泛应用在应急救援、药品配送等城市物流场景。无人机配送线路和航路规划是无人机物流配送的两个核心任务，它们之间相互影响，亟待寻求它们之间耦合关系，追求全局最优。本文在GIS栅格化基础上，考虑障碍物、坠地风险和无线电等多种安全因素，融合机器学习、运筹优化等方法，探讨贴近实际场景的无人机配送线路和航路协同规划模型和算法。
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