Vehicle Routing Problem When Using UAVs

Iryna Norba
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Abstract

Introduction. In recent years, the use of unmanned aerial vehicles (UAVs) is growing rapidly. Initially introduced for military purposes, drones and related technologies have been successfully switched to a number of new civilian applications in the last few years, such as delivery, logistics, surveillance, entertainment, and more. They also opened up new opportunities, such as working in difficult or dangerous areas. The UAV has the potential to solve the problem of air mobility, allowing to change transport and logistics in the future. Combining UAVs with traditional land vehicles can solve the last-mile delivery problem by achieving significant improvements in distribution costs and speed of vehicle delivery. One of the biggest challenges is to plan UAV routes with a number of constraints, including time, distance or energy costs, cargo weight, environmental and environmental conditions (such as wind direction or obstacles), UAV battery life, and demand requirements. users you want to visit. Thus, it revealed the need to classify different types of research and study the general characteristics of the study area. This article aims to help identify the main topics and new areas of research, as well as provides a published overview of the current state and contribution to the problem of UAV routing, as well as a general categorization of the problem of vehicle routing (VRP). The purpose of the paper is to analyze the scientific contributions to the problem of UAV routing to determine the main characteristics of these problems, as well as trends in research and recent improvements. Results. Sources are classified according to the areas of application of UAVs; methods that include exact, heuristic, metaheuristic, and mixed algorithms are mentioned. Conclusions. An overview of the work on routing problems using UAVs and the tasks they generate, trends in research and recent developments. Keywords: Unmanned aerial vehicle, routing, vehicle, optimization.
使用无人机时的车辆路线问题
介绍。近年来,无人驾驶飞行器(uav)的使用迅速增长。无人机和相关技术最初是为军事目的而引入的,在过去的几年里,无人机和相关技术已经成功地转向了一些新的民用应用,比如交付、物流、监视、娱乐等等。他们还开辟了新的机会,例如在困难或危险的地区工作。无人机具有解决空中机动问题的潜力,允许在未来改变运输和物流。将无人机与传统的陆地车辆相结合,可以显著提高配送成本和车辆配送速度,从而解决最后一英里的配送问题。最大的挑战之一是在许多限制条件下规划无人机路线,包括时间、距离或能源成本、货物重量、环境和环境条件(如风向或障碍物)、无人机电池寿命和需求要求。你想要访问的用户。因此,需要对不同类型的研究进行分类,并研究研究区域的一般特征。本文旨在帮助确定主要主题和新的研究领域,并提供UAV路由问题的现状概述和贡献,以及车辆路由(VRP)问题的一般分类。本文的目的是分析无人机路由问题的科学贡献,确定这些问题的主要特征,以及研究趋势和最近的改进。根据无人机的应用领域对源进行分类;方法包括精确算法、启发式算法、元启发式算法和混合算法。概述了使用无人机的路由问题及其产生的任务,研究趋势和最新发展。关键词:无人机,路由,车辆,优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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