End-to-end drone route planning in flexible airspace design

IF 3.9 Q2 TRANSPORTATION
Karljohan Lundin Palmerius , Alexander Uggla , Gustaf Fylkner , Jonas Lundberg
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引用次数: 0

Abstract

Drone traffic, consisting of anything from small quadcopters for video and photography to large eVTOL transporting people, is expected to grow rapidly as soon as the challenges currently barring urban flights can be solved. One of the main challenges is how to automate authorization while both keeping full control over where and how drones fly over specific areas, and at the same time allowing the operators the freedom they require to successfully provide their services. While restrictions are necessary, being overly restrictive on plans has a negative impact on capacity, safety and efficiency. In this article we propose the combination of no-fly zones and flight grids into design elements for airspace design, to be used only where and when necessary. City planners can use these design elements to make both strategic decisions and real-time updates, and thereby set the rules for an automated system for planning and authorization. We describe the design elements, how to automatically find the optimal end-to-end route between or through these elements, a set of modifications or extension to improve flexibility even more, and demonstrate the efficacy of the approach through example airspace design patterns and by showing the resulting traffic in a drone traffic simulator.

灵活空域设计中的端到端无人机航线规划
一旦目前阻碍城市飞行的难题得以解决,预计无人机流量将迅速增长,包括从用于视频和摄影的小型四旋翼飞行器到运送人员的大型 eVTOL。主要挑战之一是如何实现授权自动化,同时既能完全控制无人机在特定区域的飞行地点和方式,又能让运营商获得成功提供服务所需的自由。虽然限制是必要的,但对计划的过度限制会对容量、安全和效率产生负面影响。在本文中,我们建议将禁飞区和飞行网格结合起来,成为空域设计的设计元素,仅在必要时使用。城市规划者可以利用这些设计元素做出战略决策和实时更新,从而为规划和授权的自动化系统制定规则。我们介绍了这些设计元素、如何在这些元素之间或通过这些元素自动找到最佳端到端路线、一套可进一步提高灵活性的修改或扩展方案,并通过空域设计模式示例和在无人机交通模拟器中展示由此产生的交通流量来证明该方法的有效性。
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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来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
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