利用无人机进行快速人道主义运送的综合轨迹-定位-路由

Jose Javier Escribano Macias, Panagiotis Angeloudis, W. Ochieng
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引用次数: 3

摘要

无人机有潜力为灾后陆上救援行动的挑战提供经济的解决方案。除了监管方面的问题外,技术上的限制,特别是空域整合的限制,也阻碍了它们在实践中的部署。为了解决这些问题并确保不间断的最佳操作,我们提出了一种由集成轨迹-位置-路由算法组成的新方法,该算法旨在确定分销供应链中支持基础设施的最佳位置。这种方法的独特之处在于考虑了动态避障和可变电池消耗关系。在合理的运行时间下,采用一种基于双层大邻域搜索的近似算法来获得接近最优解。结果表明,小型无人机编队可以在对地面基础设施的依赖最小的情况下,迅速向受灾人群分发救援物资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Trajectory-Location-Routing for Rapid Humanitarian Deliveries using Unmanned Aerial Vehicles
Unmanned Aerial Vehicles have the potential to provide an economical solution to the challenges of post-disaster land-based relief operations. Beyond regulatory concerns, technical and particularly airspace integration limitations inhibit their deployment in practice. To address these issues and ensure uninterrupted optimal operations, we present a novel approach consisting of an integrated trajectory-location-routing algorithm that seeks to determine the optimal location of supporting infrastructure in the distribution supply chain. Unique to this approach is the consideration of dynamic obstacle avoidance and variable battery consumption relationships. An approximate algorithm based on a bi-level Large Neighbourhood Search is used to obtain close to optimal solutions under reasonable runtime. Results show that fleets of small UAVs could quickly distribute relief supplies to affected population groups with minimal reliance on ground infrastructure.
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