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首页> 外文期刊>International journal of production economics >Truck-drone hybrid delivery routing: Payload-energy dependency and No-Fly zones
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Truck-drone hybrid delivery routing: Payload-energy dependency and No-Fly zones

机译:卡车 - 无人机混合传递路由:有效载荷 - 能源依赖和无飞区域

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摘要

The truck-drone hybrid delivery system uses a truck as a station for drones in addition to its delivery function and is getting attention because the strengths of these individual vehicles can be selectively and synergistically exploited. In this study, we extended the previous vehicle routing models to the hybrid delivery systems by taking into account two important practical issues: the effect of parcel weight on drone energy consumption and restricted flying areas. The flight range of the drones is heavily susceptible to the loaded weight due to the limited battery life. Drones are also not allowed to fly over sensitive facilities regulated by the Federal Aviation Administration (FAA) or temporarily in certain areas due to weather-related conditions. We developed a mathematical model that incorporates these issues and propose a two-phase constructive and search heuristic algorithm to provide computational efficiency of the real-world cases problems. The result of the numerical study demonstrates the effectiveness and efficiency of the proposed algorithm.
机译:除了其交付功能外,卡车 - 无人混合传递系统还使用卡车作为无人机的车站,因为这些单独车辆的优势可以选择性和协同利用这些单独的车辆的优势。在这项研究中,我们通过考虑到两个重要的实际问题,将以前的车辆路线模型扩展到混合传递系统:包裹体重对无人机能耗和限制飞行区域的影响。由于电池寿命有限,无人机的飞行范围对负载重量严重敏感。由于天气相关条件,无人机也不允许过度通过联邦航空管理局(FAA)监管的敏感设施或暂时在某些领域。我们开发了一个包含这些问题的数学模型,并提出了一种两相的建设性和搜索启发式算法,以提供现实世界案例问题的计算效率。数值研究的结果展示了所提出的算法的有效性和效率。

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